{"task":"Real-Time Object Detection","dataset":"COCO (Common Objects in Context)","metric_names":["box AP","FPS (V100, b=1)"],"rows":[{"id":63853,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63854,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63855,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L6(1280)","metrics":{"FPS (V100, b=1)":"26","box AP":"57.2"},"paper_url":"https://arxiv.org/abs/2209.02976v1","paper_title":"YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications","paper_date":"2022-09-07","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"kadirnar/yolov6-pip","url":"https://github.com/kadirnar/yolov6-pip"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63856,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L+","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"57.1"},"paper_url":"https://arxiv.org/abs/2206.09379v2","paper_title":"0/1 Deep Neural Networks via Block Coordinate Descent","paper_date":"2022-06-19","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63857,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN6-E-ELAN(1280)","metrics":{"FPS (V100, b=1)":"31","box AP":"56.9"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63858,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6E(1280)","metrics":{"FPS (V100, b=1)":"36","box AP":"56.8"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63859,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-D6(1280)","metrics":{"FPS (V100, b=1)":"44","box AP":"56.6"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63860,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"56.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63861,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-H(640)","metrics":{"FPS (V100, b=1)":"40 (T4)","box AP":"56.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63862,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6(1280)","metrics":{"FPS (V100, b=1)":"56","box AP":"56"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63863,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"55.8"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63864,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-E","metrics":{"box AP":"55.6"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63865,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-D6","metrics":{"FPS (V100, b=1)":"30","box AP":"55.4"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63866,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12x","metrics":{"FPS (V100, b=1)":"85 (T4)","box AP":"55.2"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63867,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M+","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"55.1"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63868,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-E","metrics":{"box AP":"55.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63869,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-W6(1280)","metrics":{"FPS (V100, b=1)":"84","box AP":"54.9"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63870,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-X","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63871,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-E6","metrics":{"FPS (V100, b=1)":"37","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63872,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63873,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11x","metrics":{"FPS (V100, b=1)":"88 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63874,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_X","metrics":{"FPS (V100, b=1)":"45","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63875,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-X","metrics":{"box AP":"54.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63876,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-R101","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63877,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-W6","metrics":{"FPS (V100, b=1)":"47","box AP":"54.1"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63878,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63879,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L(distillation)","metrics":{"FPS (V100, b=1)":"78","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63880,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12l","metrics":{"FPS (V100, b=1)":"148 (T4)","box AP":"53.7"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63881,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11l","metrics":{"FPS (V100, b=1)":"161 (T4)","box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63882,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-L","metrics":{"box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63883,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-MSP","metrics":{"FPS (V100, b=1)":"94","box AP":"53.3"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63884,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-X","metrics":{"FPS (V100, b=1)":"114","box AP":"53.1"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63885,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-L","metrics":{"FPS (V100, b=1)":"114 (T4)","box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63886,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6D","metrics":{"FPS (V100, b=1)":"49","box AP":"53"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63887,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-C","metrics":{"box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63888,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L","metrics":{"FPS (V100, b=1)":"78","box AP":"52.9"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63889,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L","metrics":{"FPS (V100, b=1)":"98","box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63890,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RTMDet","metrics":{"box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2212.07784v2","paper_title":"RTMDet: An Empirical Study of Designing Real-Time Object Detectors","paper_date":"2022-12-14","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"open-mmlab/mmrotate","url":"https://github.com/open-mmlab/mmrotate"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"yxb-nku/strip-r-cnn","url":"https://github.com/yxb-nku/strip-r-cnn"},{"title":"HVision-NKU/Strip-R-CNN","url":"https://github.com/HVision-NKU/Strip-R-CNN"},{"title":"fiveai/MoCaE","url":"https://github.com/fiveai/MoCaE"},{"title":"yuyi1005/point2rbox-mmrotate","url":"https://github.com/yuyi1005/point2rbox-mmrotate"},{"title":"cszzshi/SimD","url":"https://github.com/cszzshi/SimD"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"V3Det/mmdetection-V3Det","url":"https://github.com/V3Det/mmdetection-V3Det"},{"title":"RangiLyu/mmdetection_test","url":"https://github.com/RangiLyu/mmdetection_test"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63891,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63892,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-B","metrics":{"box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63893,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6","metrics":{"FPS (V100, b=1)":"49","box AP":"52.6"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63894,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12m","metrics":{"FPS (V100, b=1)":"206 (T4)","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63895,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-ELAN","metrics":{"FPS (V100, b=1)":"70","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63896,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-C","metrics":{"box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63897,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63898,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-CSP","metrics":{"FPS (V100, b=1)":"113","box AP":"51.8"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63899,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11m","metrics":{"FPS (V100, b=1)":"212 (T4)","box AP":"51.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63900,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-M","metrics":{"box AP":"51.4"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63901,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-M","metrics":{"box AP":"51.3"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63902,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOm","metrics":{"box AP":"51.2"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63903,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-M","metrics":{"box AP":"51.1"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63904,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3","metrics":{"FPS (V100, b=1)":"123","box AP":"51.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63905,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-L","metrics":{"FPS (V100, b=1)":"126","box AP":"50.8"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63906,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S+","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"50.7"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63907,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5-X","metrics":{"FPS (V100, b=1)":"62.5","box AP":"50.4"},"paper_url":"https://arxiv.org/abs/2107.08430v2","paper_title":"YOLOX: Exceeding YOLO Series in 2021","paper_date":"2021-07-18","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"Megvii-BaseDetection/YOLOX","url":"https://github.com/Megvii-BaseDetection/YOLOX"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolox"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"qy1994-0919/cfpnet","url":"https://github.com/qy1994-0919/cfpnet"},{"title":"texasinstruments/edgeai-yolox","url":"https://github.com/texasinstruments/edgeai-yolox"},{"title":"wangdongdut/dut-anti-uav","url":"https://github.com/wangdongdut/dut-anti-uav"},{"title":"MegEngine/YOLOX","url":"https://github.com/MegEngine/YOLOX"},{"title":"zhangming8/yolox-pytorch","url":"https://github.com/zhangming8/yolox-pytorch"},{"title":"NEUAutonomousDriving408/CIVCAutonomousDriving","url":"https://github.com/NEUAutonomousDriving408/CIVCAutonomousDriving"},{"title":"DataXujing/YOLOX-","url":"https://github.com/DataXujing/YOLOX-"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"jinsheng124/yolox","url":"https://github.com/jinsheng124/yolox"},{"title":"apolloauto/apollo-model-yolox","url":"https://github.com/apolloauto/apollo-model-yolox"},{"title":"jesse01/paddle-yolox","url":"https://github.com/jesse01/paddle-yolox"},{"title":"middleprince/YOLOX-SS","url":"https://github.com/middleprince/YOLOX-SS"},{"title":"code-implementation1/Code7","url":"https://github.com/code-implementation1/Code7/tree/main/res2net_yolov3"},{"title":"chenyicai-0611/YOLOX-Flask-deployment","url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment"},{"title":"lazyn1997/YOLOX","url":"https://github.com/lazyn1997/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOv3"},{"title":"newsun-boki/yolox-openvino-video-infer","url":"https://github.com/newsun-boki/yolox-openvino-video-infer"},{"title":"newsun-boki/yolovx-openvino-c--video-infer","url":"https://github.com/newsun-boki/yolovx-openvino-c--video-infer"},{"title":"liuyuan000/yolox_sar","url":"https://github.com/liuyuan000/yolox_sar"},{"title":"2023-MindSpore-1/ms-code-182","url":"https://github.com/2023-MindSpore-1/ms-code-182"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOX"},{"title":"xiyie/yolox","url":"https://github.com/xiyie/yolox"},{"title":"MindSpore-paper-code-2/code2","url":"https://github.com/MindSpore-paper-code-2/code2/tree/main/res2net_yolov3"},{"title":"pmj110119/yolox","url":"https://github.com/pmj110119/yolox"},{"title":"2023-MindSpore-1/ms-code-216","url":"https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net_yolov3"},{"title":"mszpc/yolox","url":"https://github.com/mszpc/yolox"},{"title":"pistachio0812/YOLOX","url":"https://github.com/pistachio0812/YOLOX"},{"title":"2023-MindSpore-1/ms-code-194","url":"https://github.com/2023-MindSpore-1/ms-code-194"},{"title":"2023-MindSpore-1/ms-code-191","url":"https://github.com/2023-MindSpore-1/ms-code-191"},{"title":"kisna-aryan/YOLOX","url":"https://github.com/kisna-aryan/YOLOX"},{"title":"StephenStorm/YOLOX","url":"https://github.com/StephenStorm/YOLOX"},{"title":"2023-MindSpore-1/ms-code-31","url":"https://github.com/2023-MindSpore-1/ms-code-31"},{"title":"arnavr.neo/YOLOX","url":"https://dagshub.com/arnavr.neo/YOLOX"},{"title":"gloria111/YOLOX_paddle","url":"https://github.com/gloria111/YOLOX_paddle"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63908,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S6(1280)","metrics":{"FPS (V100, b=1)":"98","box AP":"50.3"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63909,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-M","metrics":{"FPS (V100, b=1)":"175","box AP":"50.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63910,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_M","metrics":{"box AP":"49.8"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63911,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-M","metrics":{"FPS (V100, b=1)":"233","box AP":"49.2"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63912,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"49.0"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63913,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"48.5"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63914,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12s","metrics":{"FPS (V100, b=1)":"383 (T4)","box AP":"48.0"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63915,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOs","metrics":{"box AP":"47.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63916,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11s","metrics":{"FPS (V100, b=1)":"400 (T4)","box AP":"47.0"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63917,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63918,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63919,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-S","metrics":{"box AP":"46.7"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63920,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-S","metrics":{"FPS (V100, b=1)":"325","box AP":"46"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63921,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S","metrics":{"FPS (V100, b=1)":"339","box AP":"45.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63922,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-L","metrics":{"FPS (V100, b=1)":"23","box AP":"43.5"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63923,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-M","metrics":{"FPS (V100, b=1)":"31","box AP":"43.0"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63924,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOn","metrics":{"box AP":"42.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63925,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-T","metrics":{"FPS (V100, b=1)":"397","box AP":"42"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63926,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"Faster RCNN-FPN+","metrics":{"FPS (V100, b=1)":"26","box AP":"42"},"paper_url":"https://arxiv.org/abs/2005.12872v3","paper_title":"End-to-End Object Detection with Transformers","paper_date":"2020-05-26","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/projects/detr"},{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"facebookresearch/detr","url":"https://github.com/facebookresearch/detr"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"IDEA-Research/detrex","url":"https://github.com/IDEA-Research/detrex"},{"title":"facebookresearch/swav","url":"https://github.com/facebookresearch/swav"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"BR-IDL/PaddleViT","url":"https://github.com/BR-IDL/PaddleViT/blob/main/object_detection/DETR"},{"title":"Visual-Behavior/detr-tensorflow","url":"https://github.com/Visual-Behavior/detr-tensorflow"},{"title":"DataXujing/TensorRT-DETR","url":"https://github.com/DataXujing/TensorRT-DETR"},{"title":"mlpc-ucsd/PRTR","url":"https://github.com/mlpc-ucsd/PRTR"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"Visual-Behavior/aloception","url":"https://github.com/Visual-Behavior/aloception"},{"title":"Leonardo-Blanger/detr_tensorflow","url":"https://github.com/Leonardo-Blanger/detr_tensorflow"},{"title":"EmGarr/kerod","url":"https://github.com/EmGarr/kerod"},{"title":"marcusnerva/hmn","url":"https://github.com/marcusnerva/hmn"},{"title":"clive819/Modified-DETR","url":"https://github.com/clive819/Modified-DETR"},{"title":"benywon/ChiQA","url":"https://github.com/benywon/ChiQA"},{"title":"longbai1006/surgical-vqla","url":"https://github.com/longbai1006/surgical-vqla"},{"title":"birder/birder","url":"https://gitlab.com/birder/birder"},{"title":"tahmid0007/DETR_FineTune","url":"https://github.com/tahmid0007/DETR_FineTune"},{"title":"Li-ai-cell/Interpretation_DETR","url":"https://github.com/Li-ai-cell/Interpretation_DETR"},{"title":"JunnYu/x-transformers-paddle","url":"https://github.com/JunnYu/x-transformers-paddle"},{"title":"xiuyu0000/papers_with_examples","url":"https://github.com/xiuyu0000/papers_with_examples/tree/main/detr/"},{"title":"hsfzxjy/swavx","url":"https://github.com/hsfzxjy/swavx"},{"title":"pranavjadhav001/detr_keras","url":"https://github.com/pranavjadhav001/detr_keras"},{"title":"2024-MindSpore-1/Code2","url":"https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/detr"},{"title":"abdksyed/DETR","url":"https://github.com/abdksyed/DETR"},{"title":"jiaxu-Zhu/DETR","url":"https://github.com/jiaxu-Zhu/DETR"},{"title":"ananyahjha93/swav","url":"https://github.com/ananyahjha93/swav"},{"title":"Saloni1Parekh609/MIDAS","url":"https://github.com/Saloni1Parekh609/MIDAS"},{"title":"w-sugar/prtr","url":"https://github.com/w-sugar/prtr"},{"title":"yangyucheng000/DETR","url":"https://github.com/yangyucheng000/DETR"},{"title":"2023-MindSpore-1/ms-code-69","url":"https://github.com/2023-MindSpore-1/ms-code-69"},{"title":"ywsyws/FormationSimplon20200622dlKeras","url":"https://github.com/ywsyws/FormationSimplon20200622dlKeras"},{"title":"LKLQQ/detr","url":"https://github.com/LKLQQ/detr"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63927,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-S","metrics":{"FPS (V100, b=1)":"38","box AP":"41.2"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63928,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12n","metrics":{"FPS (V100, b=1)":"610 (T4)","box AP":"40.6"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":63929,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11n","metrics":{"FPS (V100, b=1)":"667 (T4)","box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63930,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-N","metrics":{"box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63931,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-N","metrics":{"FPS (V100, b=1)":"779","box AP":"37.5"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63932,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3-L","metrics":{"box AP":"33.0"},"paper_url":"http://arxiv.org/abs/1804.02767v1","paper_title":"YOLOv3: An Incremental Improvement","paper_date":"2018-04-08","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"ultralytics/yolov3","url":"https://github.com/ultralytics/yolov3"},{"title":"qqwweee/keras-yolo3","url":"https://github.com/qqwweee/keras-yolo3"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"YunYang1994/tensorflow-yolov3","url":"https://github.com/YunYang1994/tensorflow-yolov3"},{"title":"zzh8829/yolov3-tf2","url":"https://github.com/zzh8829/yolov3-tf2"},{"title":"bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP"},{"title":"ArtLabss/tennis-tracking","url":"https://github.com/ArtLabss/tennis-tracking"},{"title":"DeNA/PyTorch_YOLOv3","url":"https://github.com/DeNA/PyTorch_YOLOv3"},{"title":"theAIGuysCode/yolov3_deepsort","url":"https://github.com/theAIGuysCode/yolov3_deepsort"},{"title":"OlafenwaMoses/FireNET","url":"https://github.com/OlafenwaMoses/FireNET"},{"title":"GiantPandaCV/yolov3-point","url":"https://github.com/GiantPandaCV/yolov3-point"},{"title":"Mayurji/Image-Classification-PyTorch","url":"https://github.com/Mayurji/Image-Classification-PyTorch"},{"title":"MikelBros/Yolov3_DeepSort_Pytorch","url":"https://github.com/MikelBros/Yolov3_DeepSort_Pytorch"},{"title":"mikel-brostrom/Yolov3_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov3_DeepSort_Pytorch"},{"title":"westerndigitalcorporation/YOLOv3-in-PyTorch","url":"https://github.com/westerndigitalcorporation/YOLOv3-in-PyTorch"},{"title":"MaximeBataille/tennis_tracking","url":"https://github.com/MaximeBataille/tennis_tracking"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"calmisential/YOLOv3_TensorFlow2","url":"https://github.com/calmisential/YOLOv3_TensorFlow2"},{"title":"ming71/UCAS-AOD-benchmark","url":"https://github.com/ming71/UCAS-AOD-benchmark"},{"title":"muyiguangda/pytorch-yolov3","url":"https://github.com/muyiguangda/pytorch-yolov3"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"RuoyuChen10/objectdetection-saliency-maps","url":"https://github.com/RuoyuChen10/objectdetection-saliency-maps"},{"title":"tanjeffreyz/yolo-v1","url":"https://github.com/tanjeffreyz/yolo-v1"},{"title":"saimj7/Social-Distancing-Detection-in-Real-Time","url":"https://github.com/saimj7/Social-Distancing-Detection-in-Real-Time"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"eavise/lightnet","url":"https://gitlab.com/eavise/lightnet"},{"title":"dianzl/sodformer","url":"https://github.com/dianzl/sodformer"},{"title":"RentadroneCL/model-definition","url":"https://github.com/RentadroneCL/model-definition"},{"title":"RentadroneCL/Photovoltaic_Fault_Detector","url":"https://github.com/RentadroneCL/Photovoltaic_Fault_Detector"},{"title":"Zzh-tju/ultralytics-YOLOv3-Cluster-NMS","url":"https://github.com/Zzh-tju/ultralytics-YOLOv3-Cluster-NMS"},{"title":"Lornatang/YOLOv3-PyTorch","url":"https://github.com/Lornatang/YOLOv3-PyTorch"},{"title":"Lornatang/PyTorch-yolov3","url":"https://github.com/Lornatang/PyTorch-yolov3"},{"title":"fredotran/traffic-sign-detector-yolov4","url":"https://github.com/fredotran/traffic-sign-detector-yolov4"},{"title":"fredotran/traffic-signs-detection","url":"https://github.com/fredotran/traffic-signs-detection"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Sharpiless/paddlex-vehicle-detection-with-YOLOv3","url":"https://github.com/Sharpiless/paddlex-vehicle-detection-with-YOLOv3"},{"title":"Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-","url":"https://github.com/Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-"},{"title":"MINED30/Face_Mask_Detection_YOLO","url":"https://github.com/MINED30/Face_Mask_Detection_YOLO"},{"title":"HSRW-EMRP-WS1920-Drone/object_detection_and_landing","url":"https://github.com/HSRW-EMRP-WS1920-Drone/object_detection_and_landing"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"nilesh0109/PedestrianTracking","url":"https://github.com/nilesh0109/PedestrianTracking"},{"title":"Pengchengzhi/Yolov3_Own-dataset","url":"https://github.com/Pengchengzhi/Yolov3_Own-dataset"},{"title":"ChelseaGH/sidewalk_prototype_AI_Hub","url":"https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort","url":"https://github.com/Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"ravi02512/efficientdet-keras","url":"https://github.com/ravi02512/efficientdet-keras"},{"title":"lmeulen/PeopleCounter","url":"https://github.com/lmeulen/PeopleCounter"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"Mersive-Technologies/yolov3","url":"https://github.com/Mersive-Technologies/yolov3"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"eavise-kul/lightnet","url":"https://github.com/eavise-kul/lightnet"},{"title":"zzhuolun/IRL","url":"https://github.com/zzhuolun/IRL"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"chincharles/u-emo","url":"https://github.com/chincharles/u-emo"},{"title":"youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition","url":"https://github.com/youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition"},{"title":"xiaogangLi/tensorflow-Darknet53-YOLOv3","url":"https://github.com/xiaogangLi/tensorflow-Darknet53-YOLOv3"},{"title":"Vijayabhaskar96/Object-Detection-Algorithms","url":"https://github.com/Vijayabhaskar96/Object-Detection-Algorithms"},{"title":"Camebush/real-time-yolov4-object-detection","url":"https://github.com/Camebush/real-time-yolov4-object-detection"},{"title":"DavianYang/yolo.ai","url":"https://github.com/DavianYang/yolo.ai"},{"title":"FlorinAndrei/TensorAim","url":"https://github.com/FlorinAndrei/TensorAim"},{"title":"BonJunKu/ScooterHelmetDetector","url":"https://github.com/BonJunKu/ScooterHelmetDetector"},{"title":"AndreydeAguiarSalvi/yolo_compression","url":"https://github.com/AndreydeAguiarSalvi/yolo_compression"},{"title":"guxiaowei1/yolov3--detection-of-rmb-code-region","url":"https://github.com/guxiaowei1/yolov3--detection-of-rmb-code-region"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"lyffly/YOLOv3_with_my_Dataset","url":"https://github.com/lyffly/YOLOv3_with_my_Dataset"},{"title":"FlyingAnt2018/darknet-modify","url":"https://github.com/FlyingAnt2018/darknet-modify"},{"title":"luckymanwu/defect_detection","url":"https://github.com/luckymanwu/defect_detection"},{"title":"Sharpiless/paddlex-driver-state-recognition","url":"https://github.com/Sharpiless/paddlex-driver-state-recognition"},{"title":"yuedongli1/yolov3_mindspore","url":"https://github.com/yuedongli1/yolov3_mindspore"},{"title":"minar09/yolov3-pytorch","url":"https://github.com/minar09/yolov3-pytorch"},{"title":"yang-233/waste_detect","url":"https://github.com/yang-233/waste_detect"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"mvxxx/mimuw-hats","url":"https://github.com/mvxxx/mimuw-hats"},{"title":"LEGO999/YOLOV3-TF2","url":"https://github.com/LEGO999/YOLOV3-TF2"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"long95288/car-logo-detect","url":"https://github.com/long95288/car-logo-detect"},{"title":"DevBruce/YOLOv3-TF2","url":"https://github.com/DevBruce/YOLOv3-TF2"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"wslerry/yolov5","url":"https://github.com/wslerry/yolov5"},{"title":"muddge/yolov3-person-only","url":"https://github.com/muddge/yolov3-person-only"},{"title":"fredotran/yolov3-opencvdnn","url":"https://github.com/fredotran/yolov3-opencvdnn"},{"title":"Tony363/Teamplay_Yolov3","url":"https://github.com/Tony363/Teamplay_Yolov3"},{"title":"usnistgov/object-detection-yolov3","url":"https://github.com/usnistgov/object-detection-yolov3"},{"title":"BlackAngel1111/Yolo3_Pytorch","url":"https://github.com/BlackAngel1111/Yolo3_Pytorch"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"sujaygarlanka/basketball-shot-count","url":"https://github.com/sujaygarlanka/basketball-shot-count"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov3"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"parth-shastri/YOLOv2","url":"https://github.com/parth-shastri/YOLOv2"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"euske/derpyolo","url":"https://github.com/euske/derpyolo"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"sidSingla/RegNetx-YOLOv3","url":"https://github.com/sidSingla/RegNetx-YOLOv3"},{"title":"gunooknam/Code_Study_Yolov3","url":"https://github.com/gunooknam/Code_Study_Yolov3"},{"title":"liulianjushi/yolo_v3_tf2.0","url":"https://github.com/liulianjushi/yolo_v3_tf2.0"},{"title":"Kev1nZheng/yolov_mask","url":"https://github.com/Kev1nZheng/yolov_mask"},{"title":"saransh317/YOLOv3-Easy-Implementation","url":"https://github.com/saransh317/YOLOv3-Easy-Implementation"},{"title":"guagen/yolov3-ultralytics-source","url":"https://github.com/guagen/yolov3-ultralytics-source"},{"title":"thecryboy/yolov3_ultralytics_deconv","url":"https://github.com/thecryboy/yolov3_ultralytics_deconv"},{"title":"Cjiangbpcs/cjiang.github.io","url":"https://github.com/Cjiangbpcs/cjiang.github.io"},{"title":"s0ntr4n97/datasets","url":"https://github.com/s0ntr4n97/datasets"},{"title":"k5iogura/darknetAB","url":"https://github.com/k5iogura/darknetAB"},{"title":"Code-Fight/darknet_study","url":"https://github.com/Code-Fight/darknet_study"},{"title":"sujaygarlanka/basketball_shot_count","url":"https://github.com/sujaygarlanka/basketball_shot_count"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"Jiachenyin1/Yolov3-U-attention-permuting","url":"https://github.com/Jiachenyin1/Yolov3-U-attention-permuting"},{"title":"Iqbal1282/yolov3_incremental_distillation_loss","url":"https://github.com/Iqbal1282/yolov3_incremental_distillation_loss"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"midnight4ever/yolov3","url":"https://github.com/midnight4ever/yolov3"},{"title":"kusti8/yolov3","url":"https://github.com/kusti8/yolov3"},{"title":"molyswu/knowledge-graph-embeding","url":"https://github.com/molyswu/knowledge-graph-embeding"},{"title":"Jintao-Huang/Darknet53_PyTorch","url":"https://github.com/Jintao-Huang/Darknet53_PyTorch"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"darkAlert/yolov3-rt","url":"https://github.com/darkAlert/yolov3-rt"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"phnk/yolov3","url":"https://github.com/phnk/yolov3"},{"title":"deeplearnproject/darknet","url":"https://github.com/deeplearnproject/darknet"},{"title":"XuanjieXiao/vehicle-detection-by-using-camera","url":"https://github.com/XuanjieXiao/vehicle-detection-by-using-camera"},{"title":"benjamintli/darknet-gun-detector","url":"https://github.com/benjamintli/darknet-gun-detector"},{"title":"Zhuoranbupt/ECE285fa19","url":"https://github.com/Zhuoranbupt/ECE285fa19"},{"title":"anhnktp/yolov3","url":"https://github.com/anhnktp/yolov3"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"PericlesPet/darknet-demo","url":"https://github.com/PericlesPet/darknet-demo"},{"title":"ycchiusieve/yolo3","url":"https://github.com/ycchiusieve/yolo3"},{"title":"ChengLeiWei/garbage-detect-using-YOLOv3-pytorch","url":"https://github.com/ChengLeiWei/garbage-detect-using-YOLOv3-pytorch"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"euske/miniyolo","url":"https://github.com/euske/miniyolo"},{"title":"maiminh1996/YOLOv3-tensorflow","url":"https://github.com/maiminh1996/YOLOv3-tensorflow"},{"title":"mutichung/yolov3_pt","url":"https://github.com/mutichung/yolov3_pt"},{"title":"albertsokol/yolov3-tf2","url":"https://github.com/albertsokol/yolov3-tf2"},{"title":"Qengineering/YoloV3-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano"},{"title":"jayin301/2021AutonomousACCar","url":"https://github.com/jayin301/2021AutonomousACCar"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"varunasthana92/YOLO_v3_implementation_Tensorflow2","url":"https://github.com/varunasthana92/YOLO_v3_implementation_Tensorflow2"},{"title":"2023-MindSpore-4/Code9","url":"https://github.com/2023-MindSpore-4/Code9/tree/main/YOLOv3"},{"title":"GiulioFischietti/Tirocinio","url":"https://github.com/GiulioFischietti/Tirocinio"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"rt55u-rgb/yolov3","url":"https://github.com/rt55u-rgb/yolov3"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"gakkifan2020/YoloV3_From_calmisential_workspace","url":"https://github.com/gakkifan2020/YoloV3_From_calmisential_workspace"},{"title":"sadicLiu/yolov3","url":"https://github.com/sadicLiu/yolov3"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"fi94/yolov3","url":"https://github.com/fi94/yolov3"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"PaiHsuehChung/DockerYOLOV3","url":"https://github.com/PaiHsuehChung/DockerYOLOV3"},{"title":"YCHung1998/Object-Detection","url":"https://github.com/YCHung1998/Object-Detection"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"rishikc137/social-distancing-detector","url":"https://github.com/rishikc137/social-distancing-detector"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"cuonga1cvp/yolov3_cuong","url":"https://github.com/cuonga1cvp/yolov3_cuong"},{"title":"thanhtran98/yolov3_jetbot","url":"https://github.com/thanhtran98/yolov3_jetbot"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Shellllllly/plateDetection","url":"https://github.com/Shellllllly/plateDetection"},{"title":"Raychou0830/Carplate","url":"https://github.com/Raychou0830/Carplate"},{"title":"zhanghuiyao/yolov3_mindspore","url":"https://github.com/zhanghuiyao/yolov3_mindspore"},{"title":"xuantruongdang/module-yolo","url":"https://github.com/xuantruongdang/module-yolo"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"zjjszj/yolov3","url":"https://github.com/zjjszj/yolov3"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"xinshasha/YoloV3","url":"https://github.com/xinshasha/YoloV3"},{"title":"liuji93/yolo_v3","url":"https://github.com/liuji93/yolo_v3"},{"title":"jellywangjie/yolov3","url":"https://github.com/jellywangjie/yolov3"},{"title":"MindSpore-paper-code-2/code3","url":"https://github.com/MindSpore-paper-code-2/code3/tree/main/yolov3_tiny"},{"title":"AbhinavJhanwar/face_detection","url":"https://github.com/AbhinavJhanwar/face_detection"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"GodofCCode/yolo3","url":"https://github.com/GodofCCode/yolo3"},{"title":"Hrishkesh/YoloInvoiceExtraction","url":"https://github.com/Hrishkesh/YoloInvoiceExtraction"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"dangWV/yolov3_darknet53","url":"https://github.com/dangWV/yolov3_darknet53"},{"title":"adairliulei/yolov3","url":"https://github.com/adairliulei/yolov3"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"lvweiwolf/efficientdet","url":"https://github.com/lvweiwolf/efficientdet"},{"title":"2023-MindSpore-4/Code14","url":"https://github.com/2023-MindSpore-4/Code14/tree/main/res2net_yolov3"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"hellotrik/torch_yolov3","url":"https://github.com/hellotrik/torch_yolov3"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"hanghang177/pedestrian_awareness","url":"https://github.com/hanghang177/pedestrian_awareness"},{"title":"harsh2011/Yolov3-Detector","url":"https://github.com/harsh2011/Yolov3-Detector"},{"title":"CZQ0707/mindspore","url":"https://github.com/CZQ0707/mindspore"},{"title":"madamak/ultrapy-yolov3-chess","url":"https://github.com/madamak/ultrapy-yolov3-chess"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"yet124/yolov3-pytorch","url":"https://github.com/yet124/yolov3-pytorch"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"AdolfoMatias/rede_neural_laranja_maca_adolfo","url":"https://github.com/AdolfoMatias/rede_neural_laranja_maca_adolfo"},{"title":"NovasMax/yolov3","url":"https://github.com/NovasMax/yolov3"},{"title":"TamirShasha/Mars_yolo","url":"https://github.com/TamirShasha/Mars_yolo"},{"title":"zzfpython/yolov3-change","url":"https://github.com/zzfpython/yolov3-change"},{"title":"tdurand/darknet-withtiling","url":"https://github.com/tdurand/darknet-withtiling"},{"title":"2023-MindSpore-1/ms-code-59","url":"https://github.com/2023-MindSpore-1/ms-code-59"},{"title":"bowensong0312/darknet","url":"https://github.com/bowensong0312/darknet"},{"title":"2023-MindSpore-1/ms-code-60","url":"https://github.com/2023-MindSpore-1/ms-code-60"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hirohiro23/Darknet","url":"https://github.com/hirohiro23/Darknet"},{"title":"peter8301120/darknet_t","url":"https://github.com/peter8301120/darknet_t"},{"title":"tommyjtl/darknet-colab","url":"https://github.com/tommyjtl/darknet-colab"},{"title":"Mind23-2/MindCode-127","url":"https://github.com/Mind23-2/MindCode-127"},{"title":"Lmonster/darknet","url":"https://github.com/Lmonster/darknet"},{"title":"eric-erki/darknetAB","url":"https://github.com/eric-erki/darknetAB"},{"title":"tmbaoloc/darknet","url":"https://github.com/tmbaoloc/darknet"},{"title":"AmitNativ1984/yolov3","url":"https://github.com/AmitNativ1984/yolov3"},{"title":"thodorostsao/4-leg-robot-neural-network","url":"https://github.com/thodorostsao/4-leg-robot-neural-network"},{"title":"kiruthick101/darknet","url":"https://github.com/kiruthick101/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"Chamchis/AICCTV","url":"https://github.com/Chamchis/AICCTV"},{"title":"Atom-min/MLBigWork","url":"https://github.com/Atom-min/MLBigWork"},{"title":"pminhtam/keras_yolo3","url":"https://github.com/pminhtam/keras_yolo3"},{"title":"ravenagcaoili/yolov3","url":"https://github.com/ravenagcaoili/yolov3"},{"title":"wrappr/wrappr-core","url":"https://github.com/wrappr/wrappr-core"},{"title":"MindSpore-paper-code-3/code5","url":"https://github.com/MindSpore-paper-code-3/code5/tree/main/res2net_yolov3"},{"title":"tade0726/yolov3_ui_error","url":"https://github.com/tade0726/yolov3_ui_error"},{"title":"jianmingwuhasco/yolov3","url":"https://github.com/jianmingwuhasco/yolov3"},{"title":"yrouphail/yolov3","url":"https://github.com/yrouphail/yolov3"},{"title":"modelhub-ai/yolo-v3","url":"https://github.com/modelhub-ai/yolo-v3"},{"title":"thinhhoang95/helipad-yolo","url":"https://github.com/thinhhoang95/helipad-yolo"},{"title":"TravisTorch/Pytorch","url":"https://github.com/TravisTorch/Pytorch"},{"title":"xxnote/stunning-doodle","url":"https://github.com/xxnote/stunning-doodle"},{"title":"MSJawad/yolov3","url":"https://github.com/MSJawad/yolov3"},{"title":"yushuz/me599_yolo","url":"https://github.com/yushuz/me599_yolo"},{"title":"alexismailov2/darknet","url":"https://github.com/alexismailov2/darknet"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"},{"title":"jih189/yolo3","url":"https://github.com/jih189/yolo3"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"NBvinay/vinb-ghost-car","url":"https://github.com/NBvinay/vinb-ghost-car"},{"title":"holytrick/AlexeyAB_darknet","url":"https://github.com/holytrick/AlexeyAB_darknet"},{"title":"Sujith2k/darknet","url":"https://github.com/Sujith2k/darknet"},{"title":"hwillard98/htmlify-yolo-training","url":"https://github.com/hwillard98/htmlify-yolo-training"},{"title":"OpenCv30/Yolov3","url":"https://github.com/OpenCv30/Yolov3"},{"title":"Smallflyfly/yolov3_ultralytics","url":"https://github.com/Smallflyfly/yolov3_ultralytics"},{"title":"swaubhik/social-distance-detector","url":"https://github.com/swaubhik/social-distance-detector"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"mdt48/yolov3-HotelsObjectDetection","url":"https://github.com/mdt48/yolov3-HotelsObjectDetection"},{"title":"munachisonwadike/YOLOV3","url":"https://github.com/munachisonwadike/YOLOV3"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"yrouphail/yolo-independent","url":"https://github.com/yrouphail/yolo-independent"},{"title":"mayanks888/yolo_custom","url":"https://github.com/mayanks888/yolo_custom"},{"title":"wdlctc/darknet","url":"https://github.com/wdlctc/darknet"},{"title":"xiaoxd16/Palm","url":"https://github.com/xiaoxd16/Palm"},{"title":"Ritik-Sharma38/YoloV3_training_Hands","url":"https://github.com/Ritik-Sharma38/YoloV3_training_Hands"},{"title":"aaron-wang-de/ab","url":"https://github.com/aaron-wang-de/ab"},{"title":"lobznet/yolov3","url":"https://github.com/lobznet/yolov3"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"takooctopus/Yolov3-Tako","url":"https://github.com/takooctopus/Yolov3-Tako"},{"title":"tanimutomo/ganonymizer","url":"https://github.com/tanimutomo/ganonymizer"},{"title":"zhangming8/libtorch-yolov3","url":"https://github.com/zhangming8/libtorch-yolov3"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"thecryboy/DECONV","url":"https://github.com/thecryboy/DECONV"},{"title":"benjamintli/training-results-azure","url":"https://github.com/benjamintli/training-results-azure"},{"title":"zeegeeko/YOLOv3","url":"https://github.com/zeegeeko/YOLOv3"},{"title":"jessychen1016/yolov3Onpytorch","url":"https://github.com/jessychen1016/yolov3Onpytorch"},{"title":"tms2003/yolov3","url":"https://github.com/tms2003/yolov3"},{"title":"vobecant/yolov3_WannaSeeU","url":"https://github.com/vobecant/yolov3_WannaSeeU"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"DarkGeekMS/Pytorch-YOLOv3-Implementation","url":"https://github.com/DarkGeekMS/Pytorch-YOLOv3-Implementation"},{"title":"fofore/yolov3-pyroch","url":"https://github.com/fofore/yolov3-pyroch"},{"title":"sergiosonline/transfercv","url":"https://github.com/sergiosonline/transfercv"},{"title":"GunjanChourasia/custom_detector_yolov3","url":"https://github.com/GunjanChourasia/custom_detector_yolov3"},{"title":"GianRomani/YOLOv3-Neural-Networks-project-","url":"https://github.com/GianRomani/YOLOv3-Neural-Networks-project-"},{"title":"nlee-208/face_mask_detection","url":"https://github.com/nlee-208/face_mask_detection"},{"title":"poojabhore12/SocialDistancing-Detector","url":"https://github.com/poojabhore12/SocialDistancing-Detector"},{"title":"loadbxh/yolov3","url":"https://github.com/loadbxh/yolov3"},{"title":"MRZWD/yolov3_caltech","url":"https://github.com/MRZWD/yolov3_caltech"},{"title":"Hiwyl/yolov3-attentation","url":"https://github.com/Hiwyl/yolov3-attentation"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"PolinaYA/yolov3","url":"https://github.com/PolinaYA/yolov3"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"mahavir-GPI/yolov3","url":"https://github.com/mahavir-GPI/yolov3"},{"title":"tkhhhh/yolov3-master","url":"https://github.com/tkhhhh/yolov3-master"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63933,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5n","metrics":{"FPS (V100, b=1)":"6.3","box AP":"28.0"},"paper_url":"https://ieeexplore.ieee.org/document/10478293","paper_title":"YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries","paper_date":"2024-03-22","code_links":[{"title":"cviviers/YOLOv5-6D-Pose","url":"https://github.com/cviviers/YOLOv5-6D-Pose"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":63934,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77832,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77833,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77834,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L6(1280)","metrics":{"FPS (V100, b=1)":"26","box AP":"57.2"},"paper_url":"https://arxiv.org/abs/2209.02976v1","paper_title":"YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications","paper_date":"2022-09-07","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"kadirnar/yolov6-pip","url":"https://github.com/kadirnar/yolov6-pip"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77835,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L+","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"57.1"},"paper_url":"https://arxiv.org/abs/2206.09379v2","paper_title":"0/1 Deep Neural Networks via Block Coordinate Descent","paper_date":"2022-06-19","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77836,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN6-E-ELAN(1280)","metrics":{"FPS (V100, b=1)":"31","box AP":"56.9"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77837,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6E(1280)","metrics":{"FPS (V100, b=1)":"36","box AP":"56.8"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77838,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-D6(1280)","metrics":{"FPS (V100, b=1)":"44","box AP":"56.6"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77839,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"56.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77840,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-H(640)","metrics":{"FPS (V100, b=1)":"40 (T4)","box AP":"56.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77841,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6(1280)","metrics":{"FPS (V100, b=1)":"56","box AP":"56"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77842,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"55.8"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77843,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-E","metrics":{"box AP":"55.6"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77844,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-D6","metrics":{"FPS (V100, b=1)":"30","box AP":"55.4"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77845,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12x","metrics":{"FPS (V100, b=1)":"85 (T4)","box AP":"55.2"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77846,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M+","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"55.1"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77847,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-E","metrics":{"box AP":"55.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77848,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-W6(1280)","metrics":{"FPS (V100, b=1)":"84","box AP":"54.9"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77849,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-X","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77850,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-E6","metrics":{"FPS (V100, b=1)":"37","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77851,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77852,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11x","metrics":{"FPS (V100, b=1)":"88 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77853,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_X","metrics":{"FPS (V100, b=1)":"45","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77854,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-X","metrics":{"box AP":"54.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77855,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-R101","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77856,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-W6","metrics":{"FPS (V100, b=1)":"47","box AP":"54.1"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77857,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77858,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L(distillation)","metrics":{"FPS (V100, b=1)":"78","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77859,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12l","metrics":{"FPS (V100, b=1)":"148 (T4)","box AP":"53.7"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77860,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11l","metrics":{"FPS (V100, b=1)":"161 (T4)","box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77861,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-L","metrics":{"box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77862,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-MSP","metrics":{"FPS (V100, b=1)":"94","box AP":"53.3"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77863,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-X","metrics":{"FPS (V100, b=1)":"114","box AP":"53.1"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77864,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-L","metrics":{"FPS (V100, b=1)":"114 (T4)","box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77865,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6D","metrics":{"FPS (V100, b=1)":"49","box AP":"53"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77866,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-C","metrics":{"box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77867,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L","metrics":{"FPS (V100, b=1)":"78","box AP":"52.9"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77868,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L","metrics":{"FPS (V100, b=1)":"98","box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77869,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RTMDet","metrics":{"box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2212.07784v2","paper_title":"RTMDet: An Empirical Study of Designing Real-Time Object Detectors","paper_date":"2022-12-14","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"open-mmlab/mmrotate","url":"https://github.com/open-mmlab/mmrotate"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"yxb-nku/strip-r-cnn","url":"https://github.com/yxb-nku/strip-r-cnn"},{"title":"HVision-NKU/Strip-R-CNN","url":"https://github.com/HVision-NKU/Strip-R-CNN"},{"title":"fiveai/MoCaE","url":"https://github.com/fiveai/MoCaE"},{"title":"yuyi1005/point2rbox-mmrotate","url":"https://github.com/yuyi1005/point2rbox-mmrotate"},{"title":"cszzshi/SimD","url":"https://github.com/cszzshi/SimD"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"V3Det/mmdetection-V3Det","url":"https://github.com/V3Det/mmdetection-V3Det"},{"title":"RangiLyu/mmdetection_test","url":"https://github.com/RangiLyu/mmdetection_test"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77870,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77871,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-B","metrics":{"box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77872,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6","metrics":{"FPS (V100, b=1)":"49","box AP":"52.6"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77873,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12m","metrics":{"FPS (V100, b=1)":"206 (T4)","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77874,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-ELAN","metrics":{"FPS (V100, b=1)":"70","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77875,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-C","metrics":{"box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77876,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77877,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-CSP","metrics":{"FPS (V100, b=1)":"113","box AP":"51.8"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77878,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11m","metrics":{"FPS (V100, b=1)":"212 (T4)","box AP":"51.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77879,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-M","metrics":{"box AP":"51.4"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77880,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-M","metrics":{"box AP":"51.3"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77881,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOm","metrics":{"box AP":"51.2"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77882,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-M","metrics":{"box AP":"51.1"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77883,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3","metrics":{"FPS (V100, b=1)":"123","box AP":"51.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77884,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-L","metrics":{"FPS (V100, b=1)":"126","box AP":"50.8"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77885,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S+","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"50.7"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77886,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5-X","metrics":{"FPS (V100, b=1)":"62.5","box AP":"50.4"},"paper_url":"https://arxiv.org/abs/2107.08430v2","paper_title":"YOLOX: Exceeding YOLO Series in 2021","paper_date":"2021-07-18","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"Megvii-BaseDetection/YOLOX","url":"https://github.com/Megvii-BaseDetection/YOLOX"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolox"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"qy1994-0919/cfpnet","url":"https://github.com/qy1994-0919/cfpnet"},{"title":"texasinstruments/edgeai-yolox","url":"https://github.com/texasinstruments/edgeai-yolox"},{"title":"wangdongdut/dut-anti-uav","url":"https://github.com/wangdongdut/dut-anti-uav"},{"title":"MegEngine/YOLOX","url":"https://github.com/MegEngine/YOLOX"},{"title":"zhangming8/yolox-pytorch","url":"https://github.com/zhangming8/yolox-pytorch"},{"title":"NEUAutonomousDriving408/CIVCAutonomousDriving","url":"https://github.com/NEUAutonomousDriving408/CIVCAutonomousDriving"},{"title":"DataXujing/YOLOX-","url":"https://github.com/DataXujing/YOLOX-"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"jinsheng124/yolox","url":"https://github.com/jinsheng124/yolox"},{"title":"apolloauto/apollo-model-yolox","url":"https://github.com/apolloauto/apollo-model-yolox"},{"title":"jesse01/paddle-yolox","url":"https://github.com/jesse01/paddle-yolox"},{"title":"middleprince/YOLOX-SS","url":"https://github.com/middleprince/YOLOX-SS"},{"title":"code-implementation1/Code7","url":"https://github.com/code-implementation1/Code7/tree/main/res2net_yolov3"},{"title":"chenyicai-0611/YOLOX-Flask-deployment","url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment"},{"title":"lazyn1997/YOLOX","url":"https://github.com/lazyn1997/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOv3"},{"title":"newsun-boki/yolox-openvino-video-infer","url":"https://github.com/newsun-boki/yolox-openvino-video-infer"},{"title":"newsun-boki/yolovx-openvino-c--video-infer","url":"https://github.com/newsun-boki/yolovx-openvino-c--video-infer"},{"title":"liuyuan000/yolox_sar","url":"https://github.com/liuyuan000/yolox_sar"},{"title":"2023-MindSpore-1/ms-code-182","url":"https://github.com/2023-MindSpore-1/ms-code-182"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOX"},{"title":"xiyie/yolox","url":"https://github.com/xiyie/yolox"},{"title":"MindSpore-paper-code-2/code2","url":"https://github.com/MindSpore-paper-code-2/code2/tree/main/res2net_yolov3"},{"title":"pmj110119/yolox","url":"https://github.com/pmj110119/yolox"},{"title":"2023-MindSpore-1/ms-code-216","url":"https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net_yolov3"},{"title":"mszpc/yolox","url":"https://github.com/mszpc/yolox"},{"title":"pistachio0812/YOLOX","url":"https://github.com/pistachio0812/YOLOX"},{"title":"2023-MindSpore-1/ms-code-194","url":"https://github.com/2023-MindSpore-1/ms-code-194"},{"title":"2023-MindSpore-1/ms-code-191","url":"https://github.com/2023-MindSpore-1/ms-code-191"},{"title":"kisna-aryan/YOLOX","url":"https://github.com/kisna-aryan/YOLOX"},{"title":"StephenStorm/YOLOX","url":"https://github.com/StephenStorm/YOLOX"},{"title":"2023-MindSpore-1/ms-code-31","url":"https://github.com/2023-MindSpore-1/ms-code-31"},{"title":"arnavr.neo/YOLOX","url":"https://dagshub.com/arnavr.neo/YOLOX"},{"title":"gloria111/YOLOX_paddle","url":"https://github.com/gloria111/YOLOX_paddle"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77887,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S6(1280)","metrics":{"FPS (V100, b=1)":"98","box AP":"50.3"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77888,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-M","metrics":{"FPS (V100, b=1)":"175","box AP":"50.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77889,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_M","metrics":{"box AP":"49.8"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77890,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-M","metrics":{"FPS (V100, b=1)":"233","box AP":"49.2"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77891,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"49.0"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77892,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"48.5"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77893,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12s","metrics":{"FPS (V100, b=1)":"383 (T4)","box AP":"48.0"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77894,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOs","metrics":{"box AP":"47.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77895,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11s","metrics":{"FPS (V100, b=1)":"400 (T4)","box AP":"47.0"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77896,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77897,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77898,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-S","metrics":{"box AP":"46.7"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77899,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-S","metrics":{"FPS (V100, b=1)":"325","box AP":"46"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77900,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S","metrics":{"FPS (V100, b=1)":"339","box AP":"45.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77901,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-L","metrics":{"FPS (V100, b=1)":"23","box AP":"43.5"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77902,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-M","metrics":{"FPS (V100, b=1)":"31","box AP":"43.0"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77903,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOn","metrics":{"box AP":"42.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77904,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-T","metrics":{"FPS (V100, b=1)":"397","box AP":"42"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77905,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"Faster RCNN-FPN+","metrics":{"FPS (V100, b=1)":"26","box AP":"42"},"paper_url":"https://arxiv.org/abs/2005.12872v3","paper_title":"End-to-End Object Detection with Transformers","paper_date":"2020-05-26","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/projects/detr"},{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"facebookresearch/detr","url":"https://github.com/facebookresearch/detr"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"IDEA-Research/detrex","url":"https://github.com/IDEA-Research/detrex"},{"title":"facebookresearch/swav","url":"https://github.com/facebookresearch/swav"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"BR-IDL/PaddleViT","url":"https://github.com/BR-IDL/PaddleViT/blob/main/object_detection/DETR"},{"title":"Visual-Behavior/detr-tensorflow","url":"https://github.com/Visual-Behavior/detr-tensorflow"},{"title":"DataXujing/TensorRT-DETR","url":"https://github.com/DataXujing/TensorRT-DETR"},{"title":"mlpc-ucsd/PRTR","url":"https://github.com/mlpc-ucsd/PRTR"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"Visual-Behavior/aloception","url":"https://github.com/Visual-Behavior/aloception"},{"title":"Leonardo-Blanger/detr_tensorflow","url":"https://github.com/Leonardo-Blanger/detr_tensorflow"},{"title":"EmGarr/kerod","url":"https://github.com/EmGarr/kerod"},{"title":"marcusnerva/hmn","url":"https://github.com/marcusnerva/hmn"},{"title":"clive819/Modified-DETR","url":"https://github.com/clive819/Modified-DETR"},{"title":"benywon/ChiQA","url":"https://github.com/benywon/ChiQA"},{"title":"longbai1006/surgical-vqla","url":"https://github.com/longbai1006/surgical-vqla"},{"title":"birder/birder","url":"https://gitlab.com/birder/birder"},{"title":"tahmid0007/DETR_FineTune","url":"https://github.com/tahmid0007/DETR_FineTune"},{"title":"Li-ai-cell/Interpretation_DETR","url":"https://github.com/Li-ai-cell/Interpretation_DETR"},{"title":"JunnYu/x-transformers-paddle","url":"https://github.com/JunnYu/x-transformers-paddle"},{"title":"xiuyu0000/papers_with_examples","url":"https://github.com/xiuyu0000/papers_with_examples/tree/main/detr/"},{"title":"hsfzxjy/swavx","url":"https://github.com/hsfzxjy/swavx"},{"title":"pranavjadhav001/detr_keras","url":"https://github.com/pranavjadhav001/detr_keras"},{"title":"2024-MindSpore-1/Code2","url":"https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/detr"},{"title":"abdksyed/DETR","url":"https://github.com/abdksyed/DETR"},{"title":"jiaxu-Zhu/DETR","url":"https://github.com/jiaxu-Zhu/DETR"},{"title":"ananyahjha93/swav","url":"https://github.com/ananyahjha93/swav"},{"title":"Saloni1Parekh609/MIDAS","url":"https://github.com/Saloni1Parekh609/MIDAS"},{"title":"w-sugar/prtr","url":"https://github.com/w-sugar/prtr"},{"title":"yangyucheng000/DETR","url":"https://github.com/yangyucheng000/DETR"},{"title":"2023-MindSpore-1/ms-code-69","url":"https://github.com/2023-MindSpore-1/ms-code-69"},{"title":"ywsyws/FormationSimplon20200622dlKeras","url":"https://github.com/ywsyws/FormationSimplon20200622dlKeras"},{"title":"LKLQQ/detr","url":"https://github.com/LKLQQ/detr"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77906,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-S","metrics":{"FPS (V100, b=1)":"38","box AP":"41.2"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77907,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12n","metrics":{"FPS (V100, b=1)":"610 (T4)","box AP":"40.6"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":77908,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11n","metrics":{"FPS (V100, b=1)":"667 (T4)","box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77909,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-N","metrics":{"box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77910,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-N","metrics":{"FPS (V100, b=1)":"779","box AP":"37.5"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77911,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3-L","metrics":{"box AP":"33.0"},"paper_url":"http://arxiv.org/abs/1804.02767v1","paper_title":"YOLOv3: An Incremental Improvement","paper_date":"2018-04-08","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"ultralytics/yolov3","url":"https://github.com/ultralytics/yolov3"},{"title":"qqwweee/keras-yolo3","url":"https://github.com/qqwweee/keras-yolo3"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"YunYang1994/tensorflow-yolov3","url":"https://github.com/YunYang1994/tensorflow-yolov3"},{"title":"zzh8829/yolov3-tf2","url":"https://github.com/zzh8829/yolov3-tf2"},{"title":"bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP"},{"title":"ArtLabss/tennis-tracking","url":"https://github.com/ArtLabss/tennis-tracking"},{"title":"DeNA/PyTorch_YOLOv3","url":"https://github.com/DeNA/PyTorch_YOLOv3"},{"title":"theAIGuysCode/yolov3_deepsort","url":"https://github.com/theAIGuysCode/yolov3_deepsort"},{"title":"OlafenwaMoses/FireNET","url":"https://github.com/OlafenwaMoses/FireNET"},{"title":"GiantPandaCV/yolov3-point","url":"https://github.com/GiantPandaCV/yolov3-point"},{"title":"Mayurji/Image-Classification-PyTorch","url":"https://github.com/Mayurji/Image-Classification-PyTorch"},{"title":"MikelBros/Yolov3_DeepSort_Pytorch","url":"https://github.com/MikelBros/Yolov3_DeepSort_Pytorch"},{"title":"mikel-brostrom/Yolov3_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov3_DeepSort_Pytorch"},{"title":"westerndigitalcorporation/YOLOv3-in-PyTorch","url":"https://github.com/westerndigitalcorporation/YOLOv3-in-PyTorch"},{"title":"MaximeBataille/tennis_tracking","url":"https://github.com/MaximeBataille/tennis_tracking"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"calmisential/YOLOv3_TensorFlow2","url":"https://github.com/calmisential/YOLOv3_TensorFlow2"},{"title":"ming71/UCAS-AOD-benchmark","url":"https://github.com/ming71/UCAS-AOD-benchmark"},{"title":"muyiguangda/pytorch-yolov3","url":"https://github.com/muyiguangda/pytorch-yolov3"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"RuoyuChen10/objectdetection-saliency-maps","url":"https://github.com/RuoyuChen10/objectdetection-saliency-maps"},{"title":"tanjeffreyz/yolo-v1","url":"https://github.com/tanjeffreyz/yolo-v1"},{"title":"saimj7/Social-Distancing-Detection-in-Real-Time","url":"https://github.com/saimj7/Social-Distancing-Detection-in-Real-Time"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"eavise/lightnet","url":"https://gitlab.com/eavise/lightnet"},{"title":"dianzl/sodformer","url":"https://github.com/dianzl/sodformer"},{"title":"RentadroneCL/model-definition","url":"https://github.com/RentadroneCL/model-definition"},{"title":"RentadroneCL/Photovoltaic_Fault_Detector","url":"https://github.com/RentadroneCL/Photovoltaic_Fault_Detector"},{"title":"Zzh-tju/ultralytics-YOLOv3-Cluster-NMS","url":"https://github.com/Zzh-tju/ultralytics-YOLOv3-Cluster-NMS"},{"title":"Lornatang/YOLOv3-PyTorch","url":"https://github.com/Lornatang/YOLOv3-PyTorch"},{"title":"Lornatang/PyTorch-yolov3","url":"https://github.com/Lornatang/PyTorch-yolov3"},{"title":"fredotran/traffic-sign-detector-yolov4","url":"https://github.com/fredotran/traffic-sign-detector-yolov4"},{"title":"fredotran/traffic-signs-detection","url":"https://github.com/fredotran/traffic-signs-detection"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Sharpiless/paddlex-vehicle-detection-with-YOLOv3","url":"https://github.com/Sharpiless/paddlex-vehicle-detection-with-YOLOv3"},{"title":"Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-","url":"https://github.com/Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-"},{"title":"MINED30/Face_Mask_Detection_YOLO","url":"https://github.com/MINED30/Face_Mask_Detection_YOLO"},{"title":"HSRW-EMRP-WS1920-Drone/object_detection_and_landing","url":"https://github.com/HSRW-EMRP-WS1920-Drone/object_detection_and_landing"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"nilesh0109/PedestrianTracking","url":"https://github.com/nilesh0109/PedestrianTracking"},{"title":"Pengchengzhi/Yolov3_Own-dataset","url":"https://github.com/Pengchengzhi/Yolov3_Own-dataset"},{"title":"ChelseaGH/sidewalk_prototype_AI_Hub","url":"https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort","url":"https://github.com/Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"ravi02512/efficientdet-keras","url":"https://github.com/ravi02512/efficientdet-keras"},{"title":"lmeulen/PeopleCounter","url":"https://github.com/lmeulen/PeopleCounter"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"Mersive-Technologies/yolov3","url":"https://github.com/Mersive-Technologies/yolov3"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"eavise-kul/lightnet","url":"https://github.com/eavise-kul/lightnet"},{"title":"zzhuolun/IRL","url":"https://github.com/zzhuolun/IRL"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"chincharles/u-emo","url":"https://github.com/chincharles/u-emo"},{"title":"youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition","url":"https://github.com/youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition"},{"title":"xiaogangLi/tensorflow-Darknet53-YOLOv3","url":"https://github.com/xiaogangLi/tensorflow-Darknet53-YOLOv3"},{"title":"Vijayabhaskar96/Object-Detection-Algorithms","url":"https://github.com/Vijayabhaskar96/Object-Detection-Algorithms"},{"title":"Camebush/real-time-yolov4-object-detection","url":"https://github.com/Camebush/real-time-yolov4-object-detection"},{"title":"DavianYang/yolo.ai","url":"https://github.com/DavianYang/yolo.ai"},{"title":"FlorinAndrei/TensorAim","url":"https://github.com/FlorinAndrei/TensorAim"},{"title":"BonJunKu/ScooterHelmetDetector","url":"https://github.com/BonJunKu/ScooterHelmetDetector"},{"title":"AndreydeAguiarSalvi/yolo_compression","url":"https://github.com/AndreydeAguiarSalvi/yolo_compression"},{"title":"guxiaowei1/yolov3--detection-of-rmb-code-region","url":"https://github.com/guxiaowei1/yolov3--detection-of-rmb-code-region"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"lyffly/YOLOv3_with_my_Dataset","url":"https://github.com/lyffly/YOLOv3_with_my_Dataset"},{"title":"FlyingAnt2018/darknet-modify","url":"https://github.com/FlyingAnt2018/darknet-modify"},{"title":"luckymanwu/defect_detection","url":"https://github.com/luckymanwu/defect_detection"},{"title":"Sharpiless/paddlex-driver-state-recognition","url":"https://github.com/Sharpiless/paddlex-driver-state-recognition"},{"title":"yuedongli1/yolov3_mindspore","url":"https://github.com/yuedongli1/yolov3_mindspore"},{"title":"minar09/yolov3-pytorch","url":"https://github.com/minar09/yolov3-pytorch"},{"title":"yang-233/waste_detect","url":"https://github.com/yang-233/waste_detect"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"mvxxx/mimuw-hats","url":"https://github.com/mvxxx/mimuw-hats"},{"title":"LEGO999/YOLOV3-TF2","url":"https://github.com/LEGO999/YOLOV3-TF2"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"long95288/car-logo-detect","url":"https://github.com/long95288/car-logo-detect"},{"title":"DevBruce/YOLOv3-TF2","url":"https://github.com/DevBruce/YOLOv3-TF2"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"wslerry/yolov5","url":"https://github.com/wslerry/yolov5"},{"title":"muddge/yolov3-person-only","url":"https://github.com/muddge/yolov3-person-only"},{"title":"fredotran/yolov3-opencvdnn","url":"https://github.com/fredotran/yolov3-opencvdnn"},{"title":"Tony363/Teamplay_Yolov3","url":"https://github.com/Tony363/Teamplay_Yolov3"},{"title":"usnistgov/object-detection-yolov3","url":"https://github.com/usnistgov/object-detection-yolov3"},{"title":"BlackAngel1111/Yolo3_Pytorch","url":"https://github.com/BlackAngel1111/Yolo3_Pytorch"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"sujaygarlanka/basketball-shot-count","url":"https://github.com/sujaygarlanka/basketball-shot-count"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov3"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"parth-shastri/YOLOv2","url":"https://github.com/parth-shastri/YOLOv2"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"euske/derpyolo","url":"https://github.com/euske/derpyolo"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"sidSingla/RegNetx-YOLOv3","url":"https://github.com/sidSingla/RegNetx-YOLOv3"},{"title":"gunooknam/Code_Study_Yolov3","url":"https://github.com/gunooknam/Code_Study_Yolov3"},{"title":"liulianjushi/yolo_v3_tf2.0","url":"https://github.com/liulianjushi/yolo_v3_tf2.0"},{"title":"Kev1nZheng/yolov_mask","url":"https://github.com/Kev1nZheng/yolov_mask"},{"title":"saransh317/YOLOv3-Easy-Implementation","url":"https://github.com/saransh317/YOLOv3-Easy-Implementation"},{"title":"guagen/yolov3-ultralytics-source","url":"https://github.com/guagen/yolov3-ultralytics-source"},{"title":"thecryboy/yolov3_ultralytics_deconv","url":"https://github.com/thecryboy/yolov3_ultralytics_deconv"},{"title":"Cjiangbpcs/cjiang.github.io","url":"https://github.com/Cjiangbpcs/cjiang.github.io"},{"title":"s0ntr4n97/datasets","url":"https://github.com/s0ntr4n97/datasets"},{"title":"k5iogura/darknetAB","url":"https://github.com/k5iogura/darknetAB"},{"title":"Code-Fight/darknet_study","url":"https://github.com/Code-Fight/darknet_study"},{"title":"sujaygarlanka/basketball_shot_count","url":"https://github.com/sujaygarlanka/basketball_shot_count"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"Jiachenyin1/Yolov3-U-attention-permuting","url":"https://github.com/Jiachenyin1/Yolov3-U-attention-permuting"},{"title":"Iqbal1282/yolov3_incremental_distillation_loss","url":"https://github.com/Iqbal1282/yolov3_incremental_distillation_loss"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"midnight4ever/yolov3","url":"https://github.com/midnight4ever/yolov3"},{"title":"kusti8/yolov3","url":"https://github.com/kusti8/yolov3"},{"title":"molyswu/knowledge-graph-embeding","url":"https://github.com/molyswu/knowledge-graph-embeding"},{"title":"Jintao-Huang/Darknet53_PyTorch","url":"https://github.com/Jintao-Huang/Darknet53_PyTorch"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"darkAlert/yolov3-rt","url":"https://github.com/darkAlert/yolov3-rt"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"phnk/yolov3","url":"https://github.com/phnk/yolov3"},{"title":"deeplearnproject/darknet","url":"https://github.com/deeplearnproject/darknet"},{"title":"XuanjieXiao/vehicle-detection-by-using-camera","url":"https://github.com/XuanjieXiao/vehicle-detection-by-using-camera"},{"title":"benjamintli/darknet-gun-detector","url":"https://github.com/benjamintli/darknet-gun-detector"},{"title":"Zhuoranbupt/ECE285fa19","url":"https://github.com/Zhuoranbupt/ECE285fa19"},{"title":"anhnktp/yolov3","url":"https://github.com/anhnktp/yolov3"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"PericlesPet/darknet-demo","url":"https://github.com/PericlesPet/darknet-demo"},{"title":"ycchiusieve/yolo3","url":"https://github.com/ycchiusieve/yolo3"},{"title":"ChengLeiWei/garbage-detect-using-YOLOv3-pytorch","url":"https://github.com/ChengLeiWei/garbage-detect-using-YOLOv3-pytorch"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"euske/miniyolo","url":"https://github.com/euske/miniyolo"},{"title":"maiminh1996/YOLOv3-tensorflow","url":"https://github.com/maiminh1996/YOLOv3-tensorflow"},{"title":"mutichung/yolov3_pt","url":"https://github.com/mutichung/yolov3_pt"},{"title":"albertsokol/yolov3-tf2","url":"https://github.com/albertsokol/yolov3-tf2"},{"title":"Qengineering/YoloV3-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano"},{"title":"jayin301/2021AutonomousACCar","url":"https://github.com/jayin301/2021AutonomousACCar"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"varunasthana92/YOLO_v3_implementation_Tensorflow2","url":"https://github.com/varunasthana92/YOLO_v3_implementation_Tensorflow2"},{"title":"2023-MindSpore-4/Code9","url":"https://github.com/2023-MindSpore-4/Code9/tree/main/YOLOv3"},{"title":"GiulioFischietti/Tirocinio","url":"https://github.com/GiulioFischietti/Tirocinio"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"rt55u-rgb/yolov3","url":"https://github.com/rt55u-rgb/yolov3"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"gakkifan2020/YoloV3_From_calmisential_workspace","url":"https://github.com/gakkifan2020/YoloV3_From_calmisential_workspace"},{"title":"sadicLiu/yolov3","url":"https://github.com/sadicLiu/yolov3"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"fi94/yolov3","url":"https://github.com/fi94/yolov3"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"PaiHsuehChung/DockerYOLOV3","url":"https://github.com/PaiHsuehChung/DockerYOLOV3"},{"title":"YCHung1998/Object-Detection","url":"https://github.com/YCHung1998/Object-Detection"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"rishikc137/social-distancing-detector","url":"https://github.com/rishikc137/social-distancing-detector"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"cuonga1cvp/yolov3_cuong","url":"https://github.com/cuonga1cvp/yolov3_cuong"},{"title":"thanhtran98/yolov3_jetbot","url":"https://github.com/thanhtran98/yolov3_jetbot"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Shellllllly/plateDetection","url":"https://github.com/Shellllllly/plateDetection"},{"title":"Raychou0830/Carplate","url":"https://github.com/Raychou0830/Carplate"},{"title":"zhanghuiyao/yolov3_mindspore","url":"https://github.com/zhanghuiyao/yolov3_mindspore"},{"title":"xuantruongdang/module-yolo","url":"https://github.com/xuantruongdang/module-yolo"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"zjjszj/yolov3","url":"https://github.com/zjjszj/yolov3"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"xinshasha/YoloV3","url":"https://github.com/xinshasha/YoloV3"},{"title":"liuji93/yolo_v3","url":"https://github.com/liuji93/yolo_v3"},{"title":"jellywangjie/yolov3","url":"https://github.com/jellywangjie/yolov3"},{"title":"MindSpore-paper-code-2/code3","url":"https://github.com/MindSpore-paper-code-2/code3/tree/main/yolov3_tiny"},{"title":"AbhinavJhanwar/face_detection","url":"https://github.com/AbhinavJhanwar/face_detection"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"GodofCCode/yolo3","url":"https://github.com/GodofCCode/yolo3"},{"title":"Hrishkesh/YoloInvoiceExtraction","url":"https://github.com/Hrishkesh/YoloInvoiceExtraction"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"dangWV/yolov3_darknet53","url":"https://github.com/dangWV/yolov3_darknet53"},{"title":"adairliulei/yolov3","url":"https://github.com/adairliulei/yolov3"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"lvweiwolf/efficientdet","url":"https://github.com/lvweiwolf/efficientdet"},{"title":"2023-MindSpore-4/Code14","url":"https://github.com/2023-MindSpore-4/Code14/tree/main/res2net_yolov3"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"hellotrik/torch_yolov3","url":"https://github.com/hellotrik/torch_yolov3"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"hanghang177/pedestrian_awareness","url":"https://github.com/hanghang177/pedestrian_awareness"},{"title":"harsh2011/Yolov3-Detector","url":"https://github.com/harsh2011/Yolov3-Detector"},{"title":"CZQ0707/mindspore","url":"https://github.com/CZQ0707/mindspore"},{"title":"madamak/ultrapy-yolov3-chess","url":"https://github.com/madamak/ultrapy-yolov3-chess"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"yet124/yolov3-pytorch","url":"https://github.com/yet124/yolov3-pytorch"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"AdolfoMatias/rede_neural_laranja_maca_adolfo","url":"https://github.com/AdolfoMatias/rede_neural_laranja_maca_adolfo"},{"title":"NovasMax/yolov3","url":"https://github.com/NovasMax/yolov3"},{"title":"TamirShasha/Mars_yolo","url":"https://github.com/TamirShasha/Mars_yolo"},{"title":"zzfpython/yolov3-change","url":"https://github.com/zzfpython/yolov3-change"},{"title":"tdurand/darknet-withtiling","url":"https://github.com/tdurand/darknet-withtiling"},{"title":"2023-MindSpore-1/ms-code-59","url":"https://github.com/2023-MindSpore-1/ms-code-59"},{"title":"bowensong0312/darknet","url":"https://github.com/bowensong0312/darknet"},{"title":"2023-MindSpore-1/ms-code-60","url":"https://github.com/2023-MindSpore-1/ms-code-60"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hirohiro23/Darknet","url":"https://github.com/hirohiro23/Darknet"},{"title":"peter8301120/darknet_t","url":"https://github.com/peter8301120/darknet_t"},{"title":"tommyjtl/darknet-colab","url":"https://github.com/tommyjtl/darknet-colab"},{"title":"Mind23-2/MindCode-127","url":"https://github.com/Mind23-2/MindCode-127"},{"title":"Lmonster/darknet","url":"https://github.com/Lmonster/darknet"},{"title":"eric-erki/darknetAB","url":"https://github.com/eric-erki/darknetAB"},{"title":"tmbaoloc/darknet","url":"https://github.com/tmbaoloc/darknet"},{"title":"AmitNativ1984/yolov3","url":"https://github.com/AmitNativ1984/yolov3"},{"title":"thodorostsao/4-leg-robot-neural-network","url":"https://github.com/thodorostsao/4-leg-robot-neural-network"},{"title":"kiruthick101/darknet","url":"https://github.com/kiruthick101/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"Chamchis/AICCTV","url":"https://github.com/Chamchis/AICCTV"},{"title":"Atom-min/MLBigWork","url":"https://github.com/Atom-min/MLBigWork"},{"title":"pminhtam/keras_yolo3","url":"https://github.com/pminhtam/keras_yolo3"},{"title":"ravenagcaoili/yolov3","url":"https://github.com/ravenagcaoili/yolov3"},{"title":"wrappr/wrappr-core","url":"https://github.com/wrappr/wrappr-core"},{"title":"MindSpore-paper-code-3/code5","url":"https://github.com/MindSpore-paper-code-3/code5/tree/main/res2net_yolov3"},{"title":"tade0726/yolov3_ui_error","url":"https://github.com/tade0726/yolov3_ui_error"},{"title":"jianmingwuhasco/yolov3","url":"https://github.com/jianmingwuhasco/yolov3"},{"title":"yrouphail/yolov3","url":"https://github.com/yrouphail/yolov3"},{"title":"modelhub-ai/yolo-v3","url":"https://github.com/modelhub-ai/yolo-v3"},{"title":"thinhhoang95/helipad-yolo","url":"https://github.com/thinhhoang95/helipad-yolo"},{"title":"TravisTorch/Pytorch","url":"https://github.com/TravisTorch/Pytorch"},{"title":"xxnote/stunning-doodle","url":"https://github.com/xxnote/stunning-doodle"},{"title":"MSJawad/yolov3","url":"https://github.com/MSJawad/yolov3"},{"title":"yushuz/me599_yolo","url":"https://github.com/yushuz/me599_yolo"},{"title":"alexismailov2/darknet","url":"https://github.com/alexismailov2/darknet"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"},{"title":"jih189/yolo3","url":"https://github.com/jih189/yolo3"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"NBvinay/vinb-ghost-car","url":"https://github.com/NBvinay/vinb-ghost-car"},{"title":"holytrick/AlexeyAB_darknet","url":"https://github.com/holytrick/AlexeyAB_darknet"},{"title":"Sujith2k/darknet","url":"https://github.com/Sujith2k/darknet"},{"title":"hwillard98/htmlify-yolo-training","url":"https://github.com/hwillard98/htmlify-yolo-training"},{"title":"OpenCv30/Yolov3","url":"https://github.com/OpenCv30/Yolov3"},{"title":"Smallflyfly/yolov3_ultralytics","url":"https://github.com/Smallflyfly/yolov3_ultralytics"},{"title":"swaubhik/social-distance-detector","url":"https://github.com/swaubhik/social-distance-detector"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"mdt48/yolov3-HotelsObjectDetection","url":"https://github.com/mdt48/yolov3-HotelsObjectDetection"},{"title":"munachisonwadike/YOLOV3","url":"https://github.com/munachisonwadike/YOLOV3"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"yrouphail/yolo-independent","url":"https://github.com/yrouphail/yolo-independent"},{"title":"mayanks888/yolo_custom","url":"https://github.com/mayanks888/yolo_custom"},{"title":"wdlctc/darknet","url":"https://github.com/wdlctc/darknet"},{"title":"xiaoxd16/Palm","url":"https://github.com/xiaoxd16/Palm"},{"title":"Ritik-Sharma38/YoloV3_training_Hands","url":"https://github.com/Ritik-Sharma38/YoloV3_training_Hands"},{"title":"aaron-wang-de/ab","url":"https://github.com/aaron-wang-de/ab"},{"title":"lobznet/yolov3","url":"https://github.com/lobznet/yolov3"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"takooctopus/Yolov3-Tako","url":"https://github.com/takooctopus/Yolov3-Tako"},{"title":"tanimutomo/ganonymizer","url":"https://github.com/tanimutomo/ganonymizer"},{"title":"zhangming8/libtorch-yolov3","url":"https://github.com/zhangming8/libtorch-yolov3"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"thecryboy/DECONV","url":"https://github.com/thecryboy/DECONV"},{"title":"benjamintli/training-results-azure","url":"https://github.com/benjamintli/training-results-azure"},{"title":"zeegeeko/YOLOv3","url":"https://github.com/zeegeeko/YOLOv3"},{"title":"jessychen1016/yolov3Onpytorch","url":"https://github.com/jessychen1016/yolov3Onpytorch"},{"title":"tms2003/yolov3","url":"https://github.com/tms2003/yolov3"},{"title":"vobecant/yolov3_WannaSeeU","url":"https://github.com/vobecant/yolov3_WannaSeeU"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"DarkGeekMS/Pytorch-YOLOv3-Implementation","url":"https://github.com/DarkGeekMS/Pytorch-YOLOv3-Implementation"},{"title":"fofore/yolov3-pyroch","url":"https://github.com/fofore/yolov3-pyroch"},{"title":"sergiosonline/transfercv","url":"https://github.com/sergiosonline/transfercv"},{"title":"GunjanChourasia/custom_detector_yolov3","url":"https://github.com/GunjanChourasia/custom_detector_yolov3"},{"title":"GianRomani/YOLOv3-Neural-Networks-project-","url":"https://github.com/GianRomani/YOLOv3-Neural-Networks-project-"},{"title":"nlee-208/face_mask_detection","url":"https://github.com/nlee-208/face_mask_detection"},{"title":"poojabhore12/SocialDistancing-Detector","url":"https://github.com/poojabhore12/SocialDistancing-Detector"},{"title":"loadbxh/yolov3","url":"https://github.com/loadbxh/yolov3"},{"title":"MRZWD/yolov3_caltech","url":"https://github.com/MRZWD/yolov3_caltech"},{"title":"Hiwyl/yolov3-attentation","url":"https://github.com/Hiwyl/yolov3-attentation"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"PolinaYA/yolov3","url":"https://github.com/PolinaYA/yolov3"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"mahavir-GPI/yolov3","url":"https://github.com/mahavir-GPI/yolov3"},{"title":"tkhhhh/yolov3-master","url":"https://github.com/tkhhhh/yolov3-master"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77912,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5n","metrics":{"FPS (V100, b=1)":"6.3","box AP":"28.0"},"paper_url":"https://ieeexplore.ieee.org/document/10478293","paper_title":"YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries","paper_date":"2024-03-22","code_links":[{"title":"cviviers/YOLOv5-6D-Pose","url":"https://github.com/cviviers/YOLOv5-6D-Pose"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":77913,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118359,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118360,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118361,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L6(1280)","metrics":{"FPS (V100, b=1)":"26","box AP":"57.2"},"paper_url":"https://arxiv.org/abs/2209.02976v1","paper_title":"YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications","paper_date":"2022-09-07","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"kadirnar/yolov6-pip","url":"https://github.com/kadirnar/yolov6-pip"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118362,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L+","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"57.1"},"paper_url":"https://arxiv.org/abs/2206.09379v2","paper_title":"0/1 Deep Neural Networks via Block Coordinate Descent","paper_date":"2022-06-19","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118363,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN6-E-ELAN(1280)","metrics":{"FPS (V100, b=1)":"31","box AP":"56.9"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118364,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6E(1280)","metrics":{"FPS (V100, b=1)":"36","box AP":"56.8"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118365,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-D6(1280)","metrics":{"FPS (V100, b=1)":"44","box AP":"56.6"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118366,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"56.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118367,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-H(640)","metrics":{"FPS (V100, b=1)":"40 (T4)","box AP":"56.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118368,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6(1280)","metrics":{"FPS (V100, b=1)":"56","box AP":"56"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118369,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"55.8"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118370,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-E","metrics":{"box AP":"55.6"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118371,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-D6","metrics":{"FPS (V100, b=1)":"30","box AP":"55.4"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118372,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12x","metrics":{"FPS (V100, b=1)":"85 (T4)","box AP":"55.2"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118373,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M+","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"55.1"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118374,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-E","metrics":{"box AP":"55.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118375,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-W6(1280)","metrics":{"FPS (V100, b=1)":"84","box AP":"54.9"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118376,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-X","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118377,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-E6","metrics":{"FPS (V100, b=1)":"37","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118378,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118379,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11x","metrics":{"FPS (V100, b=1)":"88 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118380,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_X","metrics":{"FPS (V100, b=1)":"45","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118381,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-X","metrics":{"box AP":"54.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118382,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-R101","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118383,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-W6","metrics":{"FPS (V100, b=1)":"47","box AP":"54.1"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118384,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118385,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L(distillation)","metrics":{"FPS (V100, b=1)":"78","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118386,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12l","metrics":{"FPS (V100, b=1)":"148 (T4)","box AP":"53.7"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118387,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11l","metrics":{"FPS (V100, b=1)":"161 (T4)","box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118388,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-L","metrics":{"box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118389,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-MSP","metrics":{"FPS (V100, b=1)":"94","box AP":"53.3"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118390,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-X","metrics":{"FPS (V100, b=1)":"114","box AP":"53.1"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118391,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-L","metrics":{"FPS (V100, b=1)":"114 (T4)","box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118392,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6D","metrics":{"FPS (V100, b=1)":"49","box AP":"53"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118393,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-C","metrics":{"box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118394,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L","metrics":{"FPS (V100, b=1)":"78","box AP":"52.9"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118395,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L","metrics":{"FPS (V100, b=1)":"98","box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118396,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RTMDet","metrics":{"box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2212.07784v2","paper_title":"RTMDet: An Empirical Study of Designing Real-Time Object Detectors","paper_date":"2022-12-14","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"open-mmlab/mmrotate","url":"https://github.com/open-mmlab/mmrotate"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"yxb-nku/strip-r-cnn","url":"https://github.com/yxb-nku/strip-r-cnn"},{"title":"HVision-NKU/Strip-R-CNN","url":"https://github.com/HVision-NKU/Strip-R-CNN"},{"title":"fiveai/MoCaE","url":"https://github.com/fiveai/MoCaE"},{"title":"yuyi1005/point2rbox-mmrotate","url":"https://github.com/yuyi1005/point2rbox-mmrotate"},{"title":"cszzshi/SimD","url":"https://github.com/cszzshi/SimD"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"V3Det/mmdetection-V3Det","url":"https://github.com/V3Det/mmdetection-V3Det"},{"title":"RangiLyu/mmdetection_test","url":"https://github.com/RangiLyu/mmdetection_test"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118397,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118398,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-B","metrics":{"box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118399,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6","metrics":{"FPS (V100, b=1)":"49","box AP":"52.6"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118400,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12m","metrics":{"FPS (V100, b=1)":"206 (T4)","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118401,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-ELAN","metrics":{"FPS (V100, b=1)":"70","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118402,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-C","metrics":{"box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118403,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118404,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-CSP","metrics":{"FPS (V100, b=1)":"113","box AP":"51.8"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118405,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11m","metrics":{"FPS (V100, b=1)":"212 (T4)","box AP":"51.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118406,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-M","metrics":{"box AP":"51.4"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118407,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-M","metrics":{"box AP":"51.3"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118408,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOm","metrics":{"box AP":"51.2"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118409,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-M","metrics":{"box AP":"51.1"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118410,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3","metrics":{"FPS (V100, b=1)":"123","box AP":"51.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118411,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-L","metrics":{"FPS (V100, b=1)":"126","box AP":"50.8"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118412,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S+","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"50.7"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118413,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5-X","metrics":{"FPS (V100, b=1)":"62.5","box AP":"50.4"},"paper_url":"https://arxiv.org/abs/2107.08430v2","paper_title":"YOLOX: Exceeding YOLO Series in 2021","paper_date":"2021-07-18","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"Megvii-BaseDetection/YOLOX","url":"https://github.com/Megvii-BaseDetection/YOLOX"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolox"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"qy1994-0919/cfpnet","url":"https://github.com/qy1994-0919/cfpnet"},{"title":"texasinstruments/edgeai-yolox","url":"https://github.com/texasinstruments/edgeai-yolox"},{"title":"wangdongdut/dut-anti-uav","url":"https://github.com/wangdongdut/dut-anti-uav"},{"title":"MegEngine/YOLOX","url":"https://github.com/MegEngine/YOLOX"},{"title":"zhangming8/yolox-pytorch","url":"https://github.com/zhangming8/yolox-pytorch"},{"title":"NEUAutonomousDriving408/CIVCAutonomousDriving","url":"https://github.com/NEUAutonomousDriving408/CIVCAutonomousDriving"},{"title":"DataXujing/YOLOX-","url":"https://github.com/DataXujing/YOLOX-"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"jinsheng124/yolox","url":"https://github.com/jinsheng124/yolox"},{"title":"apolloauto/apollo-model-yolox","url":"https://github.com/apolloauto/apollo-model-yolox"},{"title":"jesse01/paddle-yolox","url":"https://github.com/jesse01/paddle-yolox"},{"title":"middleprince/YOLOX-SS","url":"https://github.com/middleprince/YOLOX-SS"},{"title":"code-implementation1/Code7","url":"https://github.com/code-implementation1/Code7/tree/main/res2net_yolov3"},{"title":"chenyicai-0611/YOLOX-Flask-deployment","url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment"},{"title":"lazyn1997/YOLOX","url":"https://github.com/lazyn1997/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOv3"},{"title":"newsun-boki/yolox-openvino-video-infer","url":"https://github.com/newsun-boki/yolox-openvino-video-infer"},{"title":"newsun-boki/yolovx-openvino-c--video-infer","url":"https://github.com/newsun-boki/yolovx-openvino-c--video-infer"},{"title":"liuyuan000/yolox_sar","url":"https://github.com/liuyuan000/yolox_sar"},{"title":"2023-MindSpore-1/ms-code-182","url":"https://github.com/2023-MindSpore-1/ms-code-182"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOX"},{"title":"xiyie/yolox","url":"https://github.com/xiyie/yolox"},{"title":"MindSpore-paper-code-2/code2","url":"https://github.com/MindSpore-paper-code-2/code2/tree/main/res2net_yolov3"},{"title":"pmj110119/yolox","url":"https://github.com/pmj110119/yolox"},{"title":"2023-MindSpore-1/ms-code-216","url":"https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net_yolov3"},{"title":"mszpc/yolox","url":"https://github.com/mszpc/yolox"},{"title":"pistachio0812/YOLOX","url":"https://github.com/pistachio0812/YOLOX"},{"title":"2023-MindSpore-1/ms-code-194","url":"https://github.com/2023-MindSpore-1/ms-code-194"},{"title":"2023-MindSpore-1/ms-code-191","url":"https://github.com/2023-MindSpore-1/ms-code-191"},{"title":"kisna-aryan/YOLOX","url":"https://github.com/kisna-aryan/YOLOX"},{"title":"StephenStorm/YOLOX","url":"https://github.com/StephenStorm/YOLOX"},{"title":"2023-MindSpore-1/ms-code-31","url":"https://github.com/2023-MindSpore-1/ms-code-31"},{"title":"arnavr.neo/YOLOX","url":"https://dagshub.com/arnavr.neo/YOLOX"},{"title":"gloria111/YOLOX_paddle","url":"https://github.com/gloria111/YOLOX_paddle"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118414,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S6(1280)","metrics":{"FPS (V100, b=1)":"98","box AP":"50.3"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118415,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-M","metrics":{"FPS (V100, b=1)":"175","box AP":"50.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118416,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_M","metrics":{"box AP":"49.8"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118417,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-M","metrics":{"FPS (V100, b=1)":"233","box AP":"49.2"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118418,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"49.0"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118419,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"48.5"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118420,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12s","metrics":{"FPS (V100, b=1)":"383 (T4)","box AP":"48.0"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118421,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOs","metrics":{"box AP":"47.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118422,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11s","metrics":{"FPS (V100, b=1)":"400 (T4)","box AP":"47.0"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118423,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118424,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118425,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-S","metrics":{"box AP":"46.7"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118426,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-S","metrics":{"FPS (V100, b=1)":"325","box AP":"46"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118427,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S","metrics":{"FPS (V100, b=1)":"339","box AP":"45.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118428,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-L","metrics":{"FPS (V100, b=1)":"23","box AP":"43.5"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118429,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-M","metrics":{"FPS (V100, b=1)":"31","box AP":"43.0"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118430,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOn","metrics":{"box AP":"42.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118431,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-T","metrics":{"FPS (V100, b=1)":"397","box AP":"42"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118432,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"Faster RCNN-FPN+","metrics":{"FPS (V100, b=1)":"26","box AP":"42"},"paper_url":"https://arxiv.org/abs/2005.12872v3","paper_title":"End-to-End Object Detection with Transformers","paper_date":"2020-05-26","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/projects/detr"},{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"facebookresearch/detr","url":"https://github.com/facebookresearch/detr"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"IDEA-Research/detrex","url":"https://github.com/IDEA-Research/detrex"},{"title":"facebookresearch/swav","url":"https://github.com/facebookresearch/swav"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"BR-IDL/PaddleViT","url":"https://github.com/BR-IDL/PaddleViT/blob/main/object_detection/DETR"},{"title":"Visual-Behavior/detr-tensorflow","url":"https://github.com/Visual-Behavior/detr-tensorflow"},{"title":"DataXujing/TensorRT-DETR","url":"https://github.com/DataXujing/TensorRT-DETR"},{"title":"mlpc-ucsd/PRTR","url":"https://github.com/mlpc-ucsd/PRTR"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"Visual-Behavior/aloception","url":"https://github.com/Visual-Behavior/aloception"},{"title":"Leonardo-Blanger/detr_tensorflow","url":"https://github.com/Leonardo-Blanger/detr_tensorflow"},{"title":"EmGarr/kerod","url":"https://github.com/EmGarr/kerod"},{"title":"marcusnerva/hmn","url":"https://github.com/marcusnerva/hmn"},{"title":"clive819/Modified-DETR","url":"https://github.com/clive819/Modified-DETR"},{"title":"benywon/ChiQA","url":"https://github.com/benywon/ChiQA"},{"title":"longbai1006/surgical-vqla","url":"https://github.com/longbai1006/surgical-vqla"},{"title":"birder/birder","url":"https://gitlab.com/birder/birder"},{"title":"tahmid0007/DETR_FineTune","url":"https://github.com/tahmid0007/DETR_FineTune"},{"title":"Li-ai-cell/Interpretation_DETR","url":"https://github.com/Li-ai-cell/Interpretation_DETR"},{"title":"JunnYu/x-transformers-paddle","url":"https://github.com/JunnYu/x-transformers-paddle"},{"title":"xiuyu0000/papers_with_examples","url":"https://github.com/xiuyu0000/papers_with_examples/tree/main/detr/"},{"title":"hsfzxjy/swavx","url":"https://github.com/hsfzxjy/swavx"},{"title":"pranavjadhav001/detr_keras","url":"https://github.com/pranavjadhav001/detr_keras"},{"title":"2024-MindSpore-1/Code2","url":"https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/detr"},{"title":"abdksyed/DETR","url":"https://github.com/abdksyed/DETR"},{"title":"jiaxu-Zhu/DETR","url":"https://github.com/jiaxu-Zhu/DETR"},{"title":"ananyahjha93/swav","url":"https://github.com/ananyahjha93/swav"},{"title":"Saloni1Parekh609/MIDAS","url":"https://github.com/Saloni1Parekh609/MIDAS"},{"title":"w-sugar/prtr","url":"https://github.com/w-sugar/prtr"},{"title":"yangyucheng000/DETR","url":"https://github.com/yangyucheng000/DETR"},{"title":"2023-MindSpore-1/ms-code-69","url":"https://github.com/2023-MindSpore-1/ms-code-69"},{"title":"ywsyws/FormationSimplon20200622dlKeras","url":"https://github.com/ywsyws/FormationSimplon20200622dlKeras"},{"title":"LKLQQ/detr","url":"https://github.com/LKLQQ/detr"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118433,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-S","metrics":{"FPS (V100, b=1)":"38","box AP":"41.2"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118434,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12n","metrics":{"FPS (V100, b=1)":"610 (T4)","box AP":"40.6"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":118435,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11n","metrics":{"FPS (V100, b=1)":"667 (T4)","box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118436,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-N","metrics":{"box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118437,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-N","metrics":{"FPS (V100, b=1)":"779","box AP":"37.5"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118438,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3-L","metrics":{"box AP":"33.0"},"paper_url":"http://arxiv.org/abs/1804.02767v1","paper_title":"YOLOv3: An Incremental Improvement","paper_date":"2018-04-08","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"ultralytics/yolov3","url":"https://github.com/ultralytics/yolov3"},{"title":"qqwweee/keras-yolo3","url":"https://github.com/qqwweee/keras-yolo3"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"YunYang1994/tensorflow-yolov3","url":"https://github.com/YunYang1994/tensorflow-yolov3"},{"title":"zzh8829/yolov3-tf2","url":"https://github.com/zzh8829/yolov3-tf2"},{"title":"bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP"},{"title":"ArtLabss/tennis-tracking","url":"https://github.com/ArtLabss/tennis-tracking"},{"title":"DeNA/PyTorch_YOLOv3","url":"https://github.com/DeNA/PyTorch_YOLOv3"},{"title":"theAIGuysCode/yolov3_deepsort","url":"https://github.com/theAIGuysCode/yolov3_deepsort"},{"title":"OlafenwaMoses/FireNET","url":"https://github.com/OlafenwaMoses/FireNET"},{"title":"GiantPandaCV/yolov3-point","url":"https://github.com/GiantPandaCV/yolov3-point"},{"title":"Mayurji/Image-Classification-PyTorch","url":"https://github.com/Mayurji/Image-Classification-PyTorch"},{"title":"MikelBros/Yolov3_DeepSort_Pytorch","url":"https://github.com/MikelBros/Yolov3_DeepSort_Pytorch"},{"title":"mikel-brostrom/Yolov3_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov3_DeepSort_Pytorch"},{"title":"westerndigitalcorporation/YOLOv3-in-PyTorch","url":"https://github.com/westerndigitalcorporation/YOLOv3-in-PyTorch"},{"title":"MaximeBataille/tennis_tracking","url":"https://github.com/MaximeBataille/tennis_tracking"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"calmisential/YOLOv3_TensorFlow2","url":"https://github.com/calmisential/YOLOv3_TensorFlow2"},{"title":"ming71/UCAS-AOD-benchmark","url":"https://github.com/ming71/UCAS-AOD-benchmark"},{"title":"muyiguangda/pytorch-yolov3","url":"https://github.com/muyiguangda/pytorch-yolov3"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"RuoyuChen10/objectdetection-saliency-maps","url":"https://github.com/RuoyuChen10/objectdetection-saliency-maps"},{"title":"tanjeffreyz/yolo-v1","url":"https://github.com/tanjeffreyz/yolo-v1"},{"title":"saimj7/Social-Distancing-Detection-in-Real-Time","url":"https://github.com/saimj7/Social-Distancing-Detection-in-Real-Time"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"eavise/lightnet","url":"https://gitlab.com/eavise/lightnet"},{"title":"dianzl/sodformer","url":"https://github.com/dianzl/sodformer"},{"title":"RentadroneCL/model-definition","url":"https://github.com/RentadroneCL/model-definition"},{"title":"RentadroneCL/Photovoltaic_Fault_Detector","url":"https://github.com/RentadroneCL/Photovoltaic_Fault_Detector"},{"title":"Zzh-tju/ultralytics-YOLOv3-Cluster-NMS","url":"https://github.com/Zzh-tju/ultralytics-YOLOv3-Cluster-NMS"},{"title":"Lornatang/YOLOv3-PyTorch","url":"https://github.com/Lornatang/YOLOv3-PyTorch"},{"title":"Lornatang/PyTorch-yolov3","url":"https://github.com/Lornatang/PyTorch-yolov3"},{"title":"fredotran/traffic-sign-detector-yolov4","url":"https://github.com/fredotran/traffic-sign-detector-yolov4"},{"title":"fredotran/traffic-signs-detection","url":"https://github.com/fredotran/traffic-signs-detection"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Sharpiless/paddlex-vehicle-detection-with-YOLOv3","url":"https://github.com/Sharpiless/paddlex-vehicle-detection-with-YOLOv3"},{"title":"Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-","url":"https://github.com/Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-"},{"title":"MINED30/Face_Mask_Detection_YOLO","url":"https://github.com/MINED30/Face_Mask_Detection_YOLO"},{"title":"HSRW-EMRP-WS1920-Drone/object_detection_and_landing","url":"https://github.com/HSRW-EMRP-WS1920-Drone/object_detection_and_landing"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"nilesh0109/PedestrianTracking","url":"https://github.com/nilesh0109/PedestrianTracking"},{"title":"Pengchengzhi/Yolov3_Own-dataset","url":"https://github.com/Pengchengzhi/Yolov3_Own-dataset"},{"title":"ChelseaGH/sidewalk_prototype_AI_Hub","url":"https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort","url":"https://github.com/Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"ravi02512/efficientdet-keras","url":"https://github.com/ravi02512/efficientdet-keras"},{"title":"lmeulen/PeopleCounter","url":"https://github.com/lmeulen/PeopleCounter"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"Mersive-Technologies/yolov3","url":"https://github.com/Mersive-Technologies/yolov3"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"eavise-kul/lightnet","url":"https://github.com/eavise-kul/lightnet"},{"title":"zzhuolun/IRL","url":"https://github.com/zzhuolun/IRL"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"chincharles/u-emo","url":"https://github.com/chincharles/u-emo"},{"title":"youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition","url":"https://github.com/youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition"},{"title":"xiaogangLi/tensorflow-Darknet53-YOLOv3","url":"https://github.com/xiaogangLi/tensorflow-Darknet53-YOLOv3"},{"title":"Vijayabhaskar96/Object-Detection-Algorithms","url":"https://github.com/Vijayabhaskar96/Object-Detection-Algorithms"},{"title":"Camebush/real-time-yolov4-object-detection","url":"https://github.com/Camebush/real-time-yolov4-object-detection"},{"title":"DavianYang/yolo.ai","url":"https://github.com/DavianYang/yolo.ai"},{"title":"FlorinAndrei/TensorAim","url":"https://github.com/FlorinAndrei/TensorAim"},{"title":"BonJunKu/ScooterHelmetDetector","url":"https://github.com/BonJunKu/ScooterHelmetDetector"},{"title":"AndreydeAguiarSalvi/yolo_compression","url":"https://github.com/AndreydeAguiarSalvi/yolo_compression"},{"title":"guxiaowei1/yolov3--detection-of-rmb-code-region","url":"https://github.com/guxiaowei1/yolov3--detection-of-rmb-code-region"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"lyffly/YOLOv3_with_my_Dataset","url":"https://github.com/lyffly/YOLOv3_with_my_Dataset"},{"title":"FlyingAnt2018/darknet-modify","url":"https://github.com/FlyingAnt2018/darknet-modify"},{"title":"luckymanwu/defect_detection","url":"https://github.com/luckymanwu/defect_detection"},{"title":"Sharpiless/paddlex-driver-state-recognition","url":"https://github.com/Sharpiless/paddlex-driver-state-recognition"},{"title":"yuedongli1/yolov3_mindspore","url":"https://github.com/yuedongli1/yolov3_mindspore"},{"title":"minar09/yolov3-pytorch","url":"https://github.com/minar09/yolov3-pytorch"},{"title":"yang-233/waste_detect","url":"https://github.com/yang-233/waste_detect"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"mvxxx/mimuw-hats","url":"https://github.com/mvxxx/mimuw-hats"},{"title":"LEGO999/YOLOV3-TF2","url":"https://github.com/LEGO999/YOLOV3-TF2"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"long95288/car-logo-detect","url":"https://github.com/long95288/car-logo-detect"},{"title":"DevBruce/YOLOv3-TF2","url":"https://github.com/DevBruce/YOLOv3-TF2"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"wslerry/yolov5","url":"https://github.com/wslerry/yolov5"},{"title":"muddge/yolov3-person-only","url":"https://github.com/muddge/yolov3-person-only"},{"title":"fredotran/yolov3-opencvdnn","url":"https://github.com/fredotran/yolov3-opencvdnn"},{"title":"Tony363/Teamplay_Yolov3","url":"https://github.com/Tony363/Teamplay_Yolov3"},{"title":"usnistgov/object-detection-yolov3","url":"https://github.com/usnistgov/object-detection-yolov3"},{"title":"BlackAngel1111/Yolo3_Pytorch","url":"https://github.com/BlackAngel1111/Yolo3_Pytorch"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"sujaygarlanka/basketball-shot-count","url":"https://github.com/sujaygarlanka/basketball-shot-count"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov3"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"parth-shastri/YOLOv2","url":"https://github.com/parth-shastri/YOLOv2"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"euske/derpyolo","url":"https://github.com/euske/derpyolo"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"sidSingla/RegNetx-YOLOv3","url":"https://github.com/sidSingla/RegNetx-YOLOv3"},{"title":"gunooknam/Code_Study_Yolov3","url":"https://github.com/gunooknam/Code_Study_Yolov3"},{"title":"liulianjushi/yolo_v3_tf2.0","url":"https://github.com/liulianjushi/yolo_v3_tf2.0"},{"title":"Kev1nZheng/yolov_mask","url":"https://github.com/Kev1nZheng/yolov_mask"},{"title":"saransh317/YOLOv3-Easy-Implementation","url":"https://github.com/saransh317/YOLOv3-Easy-Implementation"},{"title":"guagen/yolov3-ultralytics-source","url":"https://github.com/guagen/yolov3-ultralytics-source"},{"title":"thecryboy/yolov3_ultralytics_deconv","url":"https://github.com/thecryboy/yolov3_ultralytics_deconv"},{"title":"Cjiangbpcs/cjiang.github.io","url":"https://github.com/Cjiangbpcs/cjiang.github.io"},{"title":"s0ntr4n97/datasets","url":"https://github.com/s0ntr4n97/datasets"},{"title":"k5iogura/darknetAB","url":"https://github.com/k5iogura/darknetAB"},{"title":"Code-Fight/darknet_study","url":"https://github.com/Code-Fight/darknet_study"},{"title":"sujaygarlanka/basketball_shot_count","url":"https://github.com/sujaygarlanka/basketball_shot_count"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"Jiachenyin1/Yolov3-U-attention-permuting","url":"https://github.com/Jiachenyin1/Yolov3-U-attention-permuting"},{"title":"Iqbal1282/yolov3_incremental_distillation_loss","url":"https://github.com/Iqbal1282/yolov3_incremental_distillation_loss"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"midnight4ever/yolov3","url":"https://github.com/midnight4ever/yolov3"},{"title":"kusti8/yolov3","url":"https://github.com/kusti8/yolov3"},{"title":"molyswu/knowledge-graph-embeding","url":"https://github.com/molyswu/knowledge-graph-embeding"},{"title":"Jintao-Huang/Darknet53_PyTorch","url":"https://github.com/Jintao-Huang/Darknet53_PyTorch"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"darkAlert/yolov3-rt","url":"https://github.com/darkAlert/yolov3-rt"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"phnk/yolov3","url":"https://github.com/phnk/yolov3"},{"title":"deeplearnproject/darknet","url":"https://github.com/deeplearnproject/darknet"},{"title":"XuanjieXiao/vehicle-detection-by-using-camera","url":"https://github.com/XuanjieXiao/vehicle-detection-by-using-camera"},{"title":"benjamintli/darknet-gun-detector","url":"https://github.com/benjamintli/darknet-gun-detector"},{"title":"Zhuoranbupt/ECE285fa19","url":"https://github.com/Zhuoranbupt/ECE285fa19"},{"title":"anhnktp/yolov3","url":"https://github.com/anhnktp/yolov3"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"PericlesPet/darknet-demo","url":"https://github.com/PericlesPet/darknet-demo"},{"title":"ycchiusieve/yolo3","url":"https://github.com/ycchiusieve/yolo3"},{"title":"ChengLeiWei/garbage-detect-using-YOLOv3-pytorch","url":"https://github.com/ChengLeiWei/garbage-detect-using-YOLOv3-pytorch"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"euske/miniyolo","url":"https://github.com/euske/miniyolo"},{"title":"maiminh1996/YOLOv3-tensorflow","url":"https://github.com/maiminh1996/YOLOv3-tensorflow"},{"title":"mutichung/yolov3_pt","url":"https://github.com/mutichung/yolov3_pt"},{"title":"albertsokol/yolov3-tf2","url":"https://github.com/albertsokol/yolov3-tf2"},{"title":"Qengineering/YoloV3-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano"},{"title":"jayin301/2021AutonomousACCar","url":"https://github.com/jayin301/2021AutonomousACCar"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"varunasthana92/YOLO_v3_implementation_Tensorflow2","url":"https://github.com/varunasthana92/YOLO_v3_implementation_Tensorflow2"},{"title":"2023-MindSpore-4/Code9","url":"https://github.com/2023-MindSpore-4/Code9/tree/main/YOLOv3"},{"title":"GiulioFischietti/Tirocinio","url":"https://github.com/GiulioFischietti/Tirocinio"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"rt55u-rgb/yolov3","url":"https://github.com/rt55u-rgb/yolov3"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"gakkifan2020/YoloV3_From_calmisential_workspace","url":"https://github.com/gakkifan2020/YoloV3_From_calmisential_workspace"},{"title":"sadicLiu/yolov3","url":"https://github.com/sadicLiu/yolov3"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"fi94/yolov3","url":"https://github.com/fi94/yolov3"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"PaiHsuehChung/DockerYOLOV3","url":"https://github.com/PaiHsuehChung/DockerYOLOV3"},{"title":"YCHung1998/Object-Detection","url":"https://github.com/YCHung1998/Object-Detection"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"rishikc137/social-distancing-detector","url":"https://github.com/rishikc137/social-distancing-detector"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"cuonga1cvp/yolov3_cuong","url":"https://github.com/cuonga1cvp/yolov3_cuong"},{"title":"thanhtran98/yolov3_jetbot","url":"https://github.com/thanhtran98/yolov3_jetbot"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Shellllllly/plateDetection","url":"https://github.com/Shellllllly/plateDetection"},{"title":"Raychou0830/Carplate","url":"https://github.com/Raychou0830/Carplate"},{"title":"zhanghuiyao/yolov3_mindspore","url":"https://github.com/zhanghuiyao/yolov3_mindspore"},{"title":"xuantruongdang/module-yolo","url":"https://github.com/xuantruongdang/module-yolo"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"zjjszj/yolov3","url":"https://github.com/zjjszj/yolov3"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"xinshasha/YoloV3","url":"https://github.com/xinshasha/YoloV3"},{"title":"liuji93/yolo_v3","url":"https://github.com/liuji93/yolo_v3"},{"title":"jellywangjie/yolov3","url":"https://github.com/jellywangjie/yolov3"},{"title":"MindSpore-paper-code-2/code3","url":"https://github.com/MindSpore-paper-code-2/code3/tree/main/yolov3_tiny"},{"title":"AbhinavJhanwar/face_detection","url":"https://github.com/AbhinavJhanwar/face_detection"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"GodofCCode/yolo3","url":"https://github.com/GodofCCode/yolo3"},{"title":"Hrishkesh/YoloInvoiceExtraction","url":"https://github.com/Hrishkesh/YoloInvoiceExtraction"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"dangWV/yolov3_darknet53","url":"https://github.com/dangWV/yolov3_darknet53"},{"title":"adairliulei/yolov3","url":"https://github.com/adairliulei/yolov3"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"lvweiwolf/efficientdet","url":"https://github.com/lvweiwolf/efficientdet"},{"title":"2023-MindSpore-4/Code14","url":"https://github.com/2023-MindSpore-4/Code14/tree/main/res2net_yolov3"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"hellotrik/torch_yolov3","url":"https://github.com/hellotrik/torch_yolov3"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"hanghang177/pedestrian_awareness","url":"https://github.com/hanghang177/pedestrian_awareness"},{"title":"harsh2011/Yolov3-Detector","url":"https://github.com/harsh2011/Yolov3-Detector"},{"title":"CZQ0707/mindspore","url":"https://github.com/CZQ0707/mindspore"},{"title":"madamak/ultrapy-yolov3-chess","url":"https://github.com/madamak/ultrapy-yolov3-chess"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"yet124/yolov3-pytorch","url":"https://github.com/yet124/yolov3-pytorch"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"AdolfoMatias/rede_neural_laranja_maca_adolfo","url":"https://github.com/AdolfoMatias/rede_neural_laranja_maca_adolfo"},{"title":"NovasMax/yolov3","url":"https://github.com/NovasMax/yolov3"},{"title":"TamirShasha/Mars_yolo","url":"https://github.com/TamirShasha/Mars_yolo"},{"title":"zzfpython/yolov3-change","url":"https://github.com/zzfpython/yolov3-change"},{"title":"tdurand/darknet-withtiling","url":"https://github.com/tdurand/darknet-withtiling"},{"title":"2023-MindSpore-1/ms-code-59","url":"https://github.com/2023-MindSpore-1/ms-code-59"},{"title":"bowensong0312/darknet","url":"https://github.com/bowensong0312/darknet"},{"title":"2023-MindSpore-1/ms-code-60","url":"https://github.com/2023-MindSpore-1/ms-code-60"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hirohiro23/Darknet","url":"https://github.com/hirohiro23/Darknet"},{"title":"peter8301120/darknet_t","url":"https://github.com/peter8301120/darknet_t"},{"title":"tommyjtl/darknet-colab","url":"https://github.com/tommyjtl/darknet-colab"},{"title":"Mind23-2/MindCode-127","url":"https://github.com/Mind23-2/MindCode-127"},{"title":"Lmonster/darknet","url":"https://github.com/Lmonster/darknet"},{"title":"eric-erki/darknetAB","url":"https://github.com/eric-erki/darknetAB"},{"title":"tmbaoloc/darknet","url":"https://github.com/tmbaoloc/darknet"},{"title":"AmitNativ1984/yolov3","url":"https://github.com/AmitNativ1984/yolov3"},{"title":"thodorostsao/4-leg-robot-neural-network","url":"https://github.com/thodorostsao/4-leg-robot-neural-network"},{"title":"kiruthick101/darknet","url":"https://github.com/kiruthick101/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"Chamchis/AICCTV","url":"https://github.com/Chamchis/AICCTV"},{"title":"Atom-min/MLBigWork","url":"https://github.com/Atom-min/MLBigWork"},{"title":"pminhtam/keras_yolo3","url":"https://github.com/pminhtam/keras_yolo3"},{"title":"ravenagcaoili/yolov3","url":"https://github.com/ravenagcaoili/yolov3"},{"title":"wrappr/wrappr-core","url":"https://github.com/wrappr/wrappr-core"},{"title":"MindSpore-paper-code-3/code5","url":"https://github.com/MindSpore-paper-code-3/code5/tree/main/res2net_yolov3"},{"title":"tade0726/yolov3_ui_error","url":"https://github.com/tade0726/yolov3_ui_error"},{"title":"jianmingwuhasco/yolov3","url":"https://github.com/jianmingwuhasco/yolov3"},{"title":"yrouphail/yolov3","url":"https://github.com/yrouphail/yolov3"},{"title":"modelhub-ai/yolo-v3","url":"https://github.com/modelhub-ai/yolo-v3"},{"title":"thinhhoang95/helipad-yolo","url":"https://github.com/thinhhoang95/helipad-yolo"},{"title":"TravisTorch/Pytorch","url":"https://github.com/TravisTorch/Pytorch"},{"title":"xxnote/stunning-doodle","url":"https://github.com/xxnote/stunning-doodle"},{"title":"MSJawad/yolov3","url":"https://github.com/MSJawad/yolov3"},{"title":"yushuz/me599_yolo","url":"https://github.com/yushuz/me599_yolo"},{"title":"alexismailov2/darknet","url":"https://github.com/alexismailov2/darknet"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"},{"title":"jih189/yolo3","url":"https://github.com/jih189/yolo3"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"NBvinay/vinb-ghost-car","url":"https://github.com/NBvinay/vinb-ghost-car"},{"title":"holytrick/AlexeyAB_darknet","url":"https://github.com/holytrick/AlexeyAB_darknet"},{"title":"Sujith2k/darknet","url":"https://github.com/Sujith2k/darknet"},{"title":"hwillard98/htmlify-yolo-training","url":"https://github.com/hwillard98/htmlify-yolo-training"},{"title":"OpenCv30/Yolov3","url":"https://github.com/OpenCv30/Yolov3"},{"title":"Smallflyfly/yolov3_ultralytics","url":"https://github.com/Smallflyfly/yolov3_ultralytics"},{"title":"swaubhik/social-distance-detector","url":"https://github.com/swaubhik/social-distance-detector"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"mdt48/yolov3-HotelsObjectDetection","url":"https://github.com/mdt48/yolov3-HotelsObjectDetection"},{"title":"munachisonwadike/YOLOV3","url":"https://github.com/munachisonwadike/YOLOV3"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"yrouphail/yolo-independent","url":"https://github.com/yrouphail/yolo-independent"},{"title":"mayanks888/yolo_custom","url":"https://github.com/mayanks888/yolo_custom"},{"title":"wdlctc/darknet","url":"https://github.com/wdlctc/darknet"},{"title":"xiaoxd16/Palm","url":"https://github.com/xiaoxd16/Palm"},{"title":"Ritik-Sharma38/YoloV3_training_Hands","url":"https://github.com/Ritik-Sharma38/YoloV3_training_Hands"},{"title":"aaron-wang-de/ab","url":"https://github.com/aaron-wang-de/ab"},{"title":"lobznet/yolov3","url":"https://github.com/lobznet/yolov3"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"takooctopus/Yolov3-Tako","url":"https://github.com/takooctopus/Yolov3-Tako"},{"title":"tanimutomo/ganonymizer","url":"https://github.com/tanimutomo/ganonymizer"},{"title":"zhangming8/libtorch-yolov3","url":"https://github.com/zhangming8/libtorch-yolov3"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"thecryboy/DECONV","url":"https://github.com/thecryboy/DECONV"},{"title":"benjamintli/training-results-azure","url":"https://github.com/benjamintli/training-results-azure"},{"title":"zeegeeko/YOLOv3","url":"https://github.com/zeegeeko/YOLOv3"},{"title":"jessychen1016/yolov3Onpytorch","url":"https://github.com/jessychen1016/yolov3Onpytorch"},{"title":"tms2003/yolov3","url":"https://github.com/tms2003/yolov3"},{"title":"vobecant/yolov3_WannaSeeU","url":"https://github.com/vobecant/yolov3_WannaSeeU"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"DarkGeekMS/Pytorch-YOLOv3-Implementation","url":"https://github.com/DarkGeekMS/Pytorch-YOLOv3-Implementation"},{"title":"fofore/yolov3-pyroch","url":"https://github.com/fofore/yolov3-pyroch"},{"title":"sergiosonline/transfercv","url":"https://github.com/sergiosonline/transfercv"},{"title":"GunjanChourasia/custom_detector_yolov3","url":"https://github.com/GunjanChourasia/custom_detector_yolov3"},{"title":"GianRomani/YOLOv3-Neural-Networks-project-","url":"https://github.com/GianRomani/YOLOv3-Neural-Networks-project-"},{"title":"nlee-208/face_mask_detection","url":"https://github.com/nlee-208/face_mask_detection"},{"title":"poojabhore12/SocialDistancing-Detector","url":"https://github.com/poojabhore12/SocialDistancing-Detector"},{"title":"loadbxh/yolov3","url":"https://github.com/loadbxh/yolov3"},{"title":"MRZWD/yolov3_caltech","url":"https://github.com/MRZWD/yolov3_caltech"},{"title":"Hiwyl/yolov3-attentation","url":"https://github.com/Hiwyl/yolov3-attentation"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"PolinaYA/yolov3","url":"https://github.com/PolinaYA/yolov3"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"mahavir-GPI/yolov3","url":"https://github.com/mahavir-GPI/yolov3"},{"title":"tkhhhh/yolov3-master","url":"https://github.com/tkhhhh/yolov3-master"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118439,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5n","metrics":{"FPS (V100, b=1)":"6.3","box AP":"28.0"},"paper_url":"https://ieeexplore.ieee.org/document/10478293","paper_title":"YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries","paper_date":"2024-03-22","code_links":[{"title":"cviviers/YOLOv5-6D-Pose","url":"https://github.com/cviviers/YOLOv5-6D-Pose"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":118440,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125435,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125436,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125437,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L6(1280)","metrics":{"FPS (V100, b=1)":"26","box AP":"57.2"},"paper_url":"https://arxiv.org/abs/2209.02976v1","paper_title":"YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications","paper_date":"2022-09-07","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"kadirnar/yolov6-pip","url":"https://github.com/kadirnar/yolov6-pip"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125438,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L+","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"57.1"},"paper_url":"https://arxiv.org/abs/2206.09379v2","paper_title":"0/1 Deep Neural Networks via Block Coordinate Descent","paper_date":"2022-06-19","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125439,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN6-E-ELAN(1280)","metrics":{"FPS (V100, b=1)":"31","box AP":"56.9"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125440,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6E(1280)","metrics":{"FPS (V100, b=1)":"36","box AP":"56.8"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125441,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-D6(1280)","metrics":{"FPS (V100, b=1)":"44","box AP":"56.6"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125442,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"56.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125443,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-H(640)","metrics":{"FPS (V100, b=1)":"40 (T4)","box AP":"56.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125444,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6(1280)","metrics":{"FPS (V100, b=1)":"56","box AP":"56"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125445,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"55.8"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125446,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-E","metrics":{"box AP":"55.6"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125447,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-D6","metrics":{"FPS (V100, b=1)":"30","box AP":"55.4"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125448,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12x","metrics":{"FPS (V100, b=1)":"85 (T4)","box AP":"55.2"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125449,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M+","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"55.1"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125450,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-E","metrics":{"box AP":"55.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125451,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-W6(1280)","metrics":{"FPS (V100, b=1)":"84","box AP":"54.9"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125452,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-X","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125453,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-E6","metrics":{"FPS (V100, b=1)":"37","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125454,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125455,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11x","metrics":{"FPS (V100, b=1)":"88 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125456,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_X","metrics":{"FPS (V100, b=1)":"45","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125457,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-X","metrics":{"box AP":"54.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125458,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-R101","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125459,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-W6","metrics":{"FPS (V100, b=1)":"47","box AP":"54.1"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125460,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125461,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L(distillation)","metrics":{"FPS (V100, b=1)":"78","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125462,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12l","metrics":{"FPS (V100, b=1)":"148 (T4)","box AP":"53.7"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125463,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11l","metrics":{"FPS (V100, b=1)":"161 (T4)","box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125464,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-L","metrics":{"box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125465,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-MSP","metrics":{"FPS (V100, b=1)":"94","box AP":"53.3"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125466,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-X","metrics":{"FPS (V100, b=1)":"114","box AP":"53.1"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125467,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-L","metrics":{"FPS (V100, b=1)":"114 (T4)","box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125468,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6D","metrics":{"FPS (V100, b=1)":"49","box AP":"53"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125469,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-C","metrics":{"box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125470,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L","metrics":{"FPS (V100, b=1)":"78","box AP":"52.9"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125471,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L","metrics":{"FPS (V100, b=1)":"98","box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125472,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RTMDet","metrics":{"box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2212.07784v2","paper_title":"RTMDet: An Empirical Study of Designing Real-Time Object Detectors","paper_date":"2022-12-14","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"open-mmlab/mmrotate","url":"https://github.com/open-mmlab/mmrotate"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"yxb-nku/strip-r-cnn","url":"https://github.com/yxb-nku/strip-r-cnn"},{"title":"HVision-NKU/Strip-R-CNN","url":"https://github.com/HVision-NKU/Strip-R-CNN"},{"title":"fiveai/MoCaE","url":"https://github.com/fiveai/MoCaE"},{"title":"yuyi1005/point2rbox-mmrotate","url":"https://github.com/yuyi1005/point2rbox-mmrotate"},{"title":"cszzshi/SimD","url":"https://github.com/cszzshi/SimD"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"V3Det/mmdetection-V3Det","url":"https://github.com/V3Det/mmdetection-V3Det"},{"title":"RangiLyu/mmdetection_test","url":"https://github.com/RangiLyu/mmdetection_test"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125473,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125474,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-B","metrics":{"box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125475,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6","metrics":{"FPS (V100, b=1)":"49","box AP":"52.6"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125476,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12m","metrics":{"FPS (V100, b=1)":"206 (T4)","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125477,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-ELAN","metrics":{"FPS (V100, b=1)":"70","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125478,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-C","metrics":{"box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125479,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125480,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-CSP","metrics":{"FPS (V100, b=1)":"113","box AP":"51.8"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125481,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11m","metrics":{"FPS (V100, b=1)":"212 (T4)","box AP":"51.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125482,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-M","metrics":{"box AP":"51.4"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125483,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-M","metrics":{"box AP":"51.3"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125484,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOm","metrics":{"box AP":"51.2"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125485,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-M","metrics":{"box AP":"51.1"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125486,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3","metrics":{"FPS (V100, b=1)":"123","box AP":"51.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125487,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-L","metrics":{"FPS (V100, b=1)":"126","box AP":"50.8"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125488,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S+","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"50.7"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125489,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5-X","metrics":{"FPS (V100, b=1)":"62.5","box AP":"50.4"},"paper_url":"https://arxiv.org/abs/2107.08430v2","paper_title":"YOLOX: Exceeding YOLO Series in 2021","paper_date":"2021-07-18","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"Megvii-BaseDetection/YOLOX","url":"https://github.com/Megvii-BaseDetection/YOLOX"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolox"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"qy1994-0919/cfpnet","url":"https://github.com/qy1994-0919/cfpnet"},{"title":"texasinstruments/edgeai-yolox","url":"https://github.com/texasinstruments/edgeai-yolox"},{"title":"wangdongdut/dut-anti-uav","url":"https://github.com/wangdongdut/dut-anti-uav"},{"title":"MegEngine/YOLOX","url":"https://github.com/MegEngine/YOLOX"},{"title":"zhangming8/yolox-pytorch","url":"https://github.com/zhangming8/yolox-pytorch"},{"title":"NEUAutonomousDriving408/CIVCAutonomousDriving","url":"https://github.com/NEUAutonomousDriving408/CIVCAutonomousDriving"},{"title":"DataXujing/YOLOX-","url":"https://github.com/DataXujing/YOLOX-"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"jinsheng124/yolox","url":"https://github.com/jinsheng124/yolox"},{"title":"apolloauto/apollo-model-yolox","url":"https://github.com/apolloauto/apollo-model-yolox"},{"title":"jesse01/paddle-yolox","url":"https://github.com/jesse01/paddle-yolox"},{"title":"middleprince/YOLOX-SS","url":"https://github.com/middleprince/YOLOX-SS"},{"title":"code-implementation1/Code7","url":"https://github.com/code-implementation1/Code7/tree/main/res2net_yolov3"},{"title":"chenyicai-0611/YOLOX-Flask-deployment","url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment"},{"title":"lazyn1997/YOLOX","url":"https://github.com/lazyn1997/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOv3"},{"title":"newsun-boki/yolox-openvino-video-infer","url":"https://github.com/newsun-boki/yolox-openvino-video-infer"},{"title":"newsun-boki/yolovx-openvino-c--video-infer","url":"https://github.com/newsun-boki/yolovx-openvino-c--video-infer"},{"title":"liuyuan000/yolox_sar","url":"https://github.com/liuyuan000/yolox_sar"},{"title":"2023-MindSpore-1/ms-code-182","url":"https://github.com/2023-MindSpore-1/ms-code-182"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOX"},{"title":"xiyie/yolox","url":"https://github.com/xiyie/yolox"},{"title":"MindSpore-paper-code-2/code2","url":"https://github.com/MindSpore-paper-code-2/code2/tree/main/res2net_yolov3"},{"title":"pmj110119/yolox","url":"https://github.com/pmj110119/yolox"},{"title":"2023-MindSpore-1/ms-code-216","url":"https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net_yolov3"},{"title":"mszpc/yolox","url":"https://github.com/mszpc/yolox"},{"title":"pistachio0812/YOLOX","url":"https://github.com/pistachio0812/YOLOX"},{"title":"2023-MindSpore-1/ms-code-194","url":"https://github.com/2023-MindSpore-1/ms-code-194"},{"title":"2023-MindSpore-1/ms-code-191","url":"https://github.com/2023-MindSpore-1/ms-code-191"},{"title":"kisna-aryan/YOLOX","url":"https://github.com/kisna-aryan/YOLOX"},{"title":"StephenStorm/YOLOX","url":"https://github.com/StephenStorm/YOLOX"},{"title":"2023-MindSpore-1/ms-code-31","url":"https://github.com/2023-MindSpore-1/ms-code-31"},{"title":"arnavr.neo/YOLOX","url":"https://dagshub.com/arnavr.neo/YOLOX"},{"title":"gloria111/YOLOX_paddle","url":"https://github.com/gloria111/YOLOX_paddle"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125490,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S6(1280)","metrics":{"FPS (V100, b=1)":"98","box AP":"50.3"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125491,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-M","metrics":{"FPS (V100, b=1)":"175","box AP":"50.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125492,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_M","metrics":{"box AP":"49.8"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125493,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-M","metrics":{"FPS (V100, b=1)":"233","box AP":"49.2"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125494,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"49.0"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125495,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"48.5"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125496,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12s","metrics":{"FPS (V100, b=1)":"383 (T4)","box AP":"48.0"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125497,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOs","metrics":{"box AP":"47.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125498,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11s","metrics":{"FPS (V100, b=1)":"400 (T4)","box AP":"47.0"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125499,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125500,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125501,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-S","metrics":{"box AP":"46.7"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125502,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-S","metrics":{"FPS (V100, b=1)":"325","box AP":"46"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125503,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S","metrics":{"FPS (V100, b=1)":"339","box AP":"45.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125504,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-L","metrics":{"FPS (V100, b=1)":"23","box AP":"43.5"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125505,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-M","metrics":{"FPS (V100, b=1)":"31","box AP":"43.0"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125506,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOn","metrics":{"box AP":"42.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125507,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-T","metrics":{"FPS (V100, b=1)":"397","box AP":"42"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125508,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"Faster RCNN-FPN+","metrics":{"FPS (V100, b=1)":"26","box AP":"42"},"paper_url":"https://arxiv.org/abs/2005.12872v3","paper_title":"End-to-End Object Detection with Transformers","paper_date":"2020-05-26","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/projects/detr"},{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"facebookresearch/detr","url":"https://github.com/facebookresearch/detr"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"IDEA-Research/detrex","url":"https://github.com/IDEA-Research/detrex"},{"title":"facebookresearch/swav","url":"https://github.com/facebookresearch/swav"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"BR-IDL/PaddleViT","url":"https://github.com/BR-IDL/PaddleViT/blob/main/object_detection/DETR"},{"title":"Visual-Behavior/detr-tensorflow","url":"https://github.com/Visual-Behavior/detr-tensorflow"},{"title":"DataXujing/TensorRT-DETR","url":"https://github.com/DataXujing/TensorRT-DETR"},{"title":"mlpc-ucsd/PRTR","url":"https://github.com/mlpc-ucsd/PRTR"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"Visual-Behavior/aloception","url":"https://github.com/Visual-Behavior/aloception"},{"title":"Leonardo-Blanger/detr_tensorflow","url":"https://github.com/Leonardo-Blanger/detr_tensorflow"},{"title":"EmGarr/kerod","url":"https://github.com/EmGarr/kerod"},{"title":"marcusnerva/hmn","url":"https://github.com/marcusnerva/hmn"},{"title":"clive819/Modified-DETR","url":"https://github.com/clive819/Modified-DETR"},{"title":"benywon/ChiQA","url":"https://github.com/benywon/ChiQA"},{"title":"longbai1006/surgical-vqla","url":"https://github.com/longbai1006/surgical-vqla"},{"title":"birder/birder","url":"https://gitlab.com/birder/birder"},{"title":"tahmid0007/DETR_FineTune","url":"https://github.com/tahmid0007/DETR_FineTune"},{"title":"Li-ai-cell/Interpretation_DETR","url":"https://github.com/Li-ai-cell/Interpretation_DETR"},{"title":"JunnYu/x-transformers-paddle","url":"https://github.com/JunnYu/x-transformers-paddle"},{"title":"xiuyu0000/papers_with_examples","url":"https://github.com/xiuyu0000/papers_with_examples/tree/main/detr/"},{"title":"hsfzxjy/swavx","url":"https://github.com/hsfzxjy/swavx"},{"title":"pranavjadhav001/detr_keras","url":"https://github.com/pranavjadhav001/detr_keras"},{"title":"2024-MindSpore-1/Code2","url":"https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/detr"},{"title":"abdksyed/DETR","url":"https://github.com/abdksyed/DETR"},{"title":"jiaxu-Zhu/DETR","url":"https://github.com/jiaxu-Zhu/DETR"},{"title":"ananyahjha93/swav","url":"https://github.com/ananyahjha93/swav"},{"title":"Saloni1Parekh609/MIDAS","url":"https://github.com/Saloni1Parekh609/MIDAS"},{"title":"w-sugar/prtr","url":"https://github.com/w-sugar/prtr"},{"title":"yangyucheng000/DETR","url":"https://github.com/yangyucheng000/DETR"},{"title":"2023-MindSpore-1/ms-code-69","url":"https://github.com/2023-MindSpore-1/ms-code-69"},{"title":"ywsyws/FormationSimplon20200622dlKeras","url":"https://github.com/ywsyws/FormationSimplon20200622dlKeras"},{"title":"LKLQQ/detr","url":"https://github.com/LKLQQ/detr"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125509,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-S","metrics":{"FPS (V100, b=1)":"38","box AP":"41.2"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125510,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12n","metrics":{"FPS (V100, b=1)":"610 (T4)","box AP":"40.6"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":125511,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11n","metrics":{"FPS (V100, b=1)":"667 (T4)","box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125512,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-N","metrics":{"box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125513,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-N","metrics":{"FPS (V100, b=1)":"779","box AP":"37.5"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125514,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3-L","metrics":{"box AP":"33.0"},"paper_url":"http://arxiv.org/abs/1804.02767v1","paper_title":"YOLOv3: An Incremental Improvement","paper_date":"2018-04-08","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"ultralytics/yolov3","url":"https://github.com/ultralytics/yolov3"},{"title":"qqwweee/keras-yolo3","url":"https://github.com/qqwweee/keras-yolo3"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"YunYang1994/tensorflow-yolov3","url":"https://github.com/YunYang1994/tensorflow-yolov3"},{"title":"zzh8829/yolov3-tf2","url":"https://github.com/zzh8829/yolov3-tf2"},{"title":"bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP"},{"title":"ArtLabss/tennis-tracking","url":"https://github.com/ArtLabss/tennis-tracking"},{"title":"DeNA/PyTorch_YOLOv3","url":"https://github.com/DeNA/PyTorch_YOLOv3"},{"title":"theAIGuysCode/yolov3_deepsort","url":"https://github.com/theAIGuysCode/yolov3_deepsort"},{"title":"OlafenwaMoses/FireNET","url":"https://github.com/OlafenwaMoses/FireNET"},{"title":"GiantPandaCV/yolov3-point","url":"https://github.com/GiantPandaCV/yolov3-point"},{"title":"Mayurji/Image-Classification-PyTorch","url":"https://github.com/Mayurji/Image-Classification-PyTorch"},{"title":"MikelBros/Yolov3_DeepSort_Pytorch","url":"https://github.com/MikelBros/Yolov3_DeepSort_Pytorch"},{"title":"mikel-brostrom/Yolov3_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov3_DeepSort_Pytorch"},{"title":"westerndigitalcorporation/YOLOv3-in-PyTorch","url":"https://github.com/westerndigitalcorporation/YOLOv3-in-PyTorch"},{"title":"MaximeBataille/tennis_tracking","url":"https://github.com/MaximeBataille/tennis_tracking"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"calmisential/YOLOv3_TensorFlow2","url":"https://github.com/calmisential/YOLOv3_TensorFlow2"},{"title":"ming71/UCAS-AOD-benchmark","url":"https://github.com/ming71/UCAS-AOD-benchmark"},{"title":"muyiguangda/pytorch-yolov3","url":"https://github.com/muyiguangda/pytorch-yolov3"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"RuoyuChen10/objectdetection-saliency-maps","url":"https://github.com/RuoyuChen10/objectdetection-saliency-maps"},{"title":"tanjeffreyz/yolo-v1","url":"https://github.com/tanjeffreyz/yolo-v1"},{"title":"saimj7/Social-Distancing-Detection-in-Real-Time","url":"https://github.com/saimj7/Social-Distancing-Detection-in-Real-Time"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"eavise/lightnet","url":"https://gitlab.com/eavise/lightnet"},{"title":"dianzl/sodformer","url":"https://github.com/dianzl/sodformer"},{"title":"RentadroneCL/model-definition","url":"https://github.com/RentadroneCL/model-definition"},{"title":"RentadroneCL/Photovoltaic_Fault_Detector","url":"https://github.com/RentadroneCL/Photovoltaic_Fault_Detector"},{"title":"Zzh-tju/ultralytics-YOLOv3-Cluster-NMS","url":"https://github.com/Zzh-tju/ultralytics-YOLOv3-Cluster-NMS"},{"title":"Lornatang/YOLOv3-PyTorch","url":"https://github.com/Lornatang/YOLOv3-PyTorch"},{"title":"Lornatang/PyTorch-yolov3","url":"https://github.com/Lornatang/PyTorch-yolov3"},{"title":"fredotran/traffic-sign-detector-yolov4","url":"https://github.com/fredotran/traffic-sign-detector-yolov4"},{"title":"fredotran/traffic-signs-detection","url":"https://github.com/fredotran/traffic-signs-detection"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Sharpiless/paddlex-vehicle-detection-with-YOLOv3","url":"https://github.com/Sharpiless/paddlex-vehicle-detection-with-YOLOv3"},{"title":"Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-","url":"https://github.com/Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-"},{"title":"MINED30/Face_Mask_Detection_YOLO","url":"https://github.com/MINED30/Face_Mask_Detection_YOLO"},{"title":"HSRW-EMRP-WS1920-Drone/object_detection_and_landing","url":"https://github.com/HSRW-EMRP-WS1920-Drone/object_detection_and_landing"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"nilesh0109/PedestrianTracking","url":"https://github.com/nilesh0109/PedestrianTracking"},{"title":"Pengchengzhi/Yolov3_Own-dataset","url":"https://github.com/Pengchengzhi/Yolov3_Own-dataset"},{"title":"ChelseaGH/sidewalk_prototype_AI_Hub","url":"https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort","url":"https://github.com/Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"ravi02512/efficientdet-keras","url":"https://github.com/ravi02512/efficientdet-keras"},{"title":"lmeulen/PeopleCounter","url":"https://github.com/lmeulen/PeopleCounter"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"Mersive-Technologies/yolov3","url":"https://github.com/Mersive-Technologies/yolov3"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"eavise-kul/lightnet","url":"https://github.com/eavise-kul/lightnet"},{"title":"zzhuolun/IRL","url":"https://github.com/zzhuolun/IRL"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"chincharles/u-emo","url":"https://github.com/chincharles/u-emo"},{"title":"youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition","url":"https://github.com/youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition"},{"title":"xiaogangLi/tensorflow-Darknet53-YOLOv3","url":"https://github.com/xiaogangLi/tensorflow-Darknet53-YOLOv3"},{"title":"Vijayabhaskar96/Object-Detection-Algorithms","url":"https://github.com/Vijayabhaskar96/Object-Detection-Algorithms"},{"title":"Camebush/real-time-yolov4-object-detection","url":"https://github.com/Camebush/real-time-yolov4-object-detection"},{"title":"DavianYang/yolo.ai","url":"https://github.com/DavianYang/yolo.ai"},{"title":"FlorinAndrei/TensorAim","url":"https://github.com/FlorinAndrei/TensorAim"},{"title":"BonJunKu/ScooterHelmetDetector","url":"https://github.com/BonJunKu/ScooterHelmetDetector"},{"title":"AndreydeAguiarSalvi/yolo_compression","url":"https://github.com/AndreydeAguiarSalvi/yolo_compression"},{"title":"guxiaowei1/yolov3--detection-of-rmb-code-region","url":"https://github.com/guxiaowei1/yolov3--detection-of-rmb-code-region"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"lyffly/YOLOv3_with_my_Dataset","url":"https://github.com/lyffly/YOLOv3_with_my_Dataset"},{"title":"FlyingAnt2018/darknet-modify","url":"https://github.com/FlyingAnt2018/darknet-modify"},{"title":"luckymanwu/defect_detection","url":"https://github.com/luckymanwu/defect_detection"},{"title":"Sharpiless/paddlex-driver-state-recognition","url":"https://github.com/Sharpiless/paddlex-driver-state-recognition"},{"title":"yuedongli1/yolov3_mindspore","url":"https://github.com/yuedongli1/yolov3_mindspore"},{"title":"minar09/yolov3-pytorch","url":"https://github.com/minar09/yolov3-pytorch"},{"title":"yang-233/waste_detect","url":"https://github.com/yang-233/waste_detect"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"mvxxx/mimuw-hats","url":"https://github.com/mvxxx/mimuw-hats"},{"title":"LEGO999/YOLOV3-TF2","url":"https://github.com/LEGO999/YOLOV3-TF2"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"long95288/car-logo-detect","url":"https://github.com/long95288/car-logo-detect"},{"title":"DevBruce/YOLOv3-TF2","url":"https://github.com/DevBruce/YOLOv3-TF2"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"wslerry/yolov5","url":"https://github.com/wslerry/yolov5"},{"title":"muddge/yolov3-person-only","url":"https://github.com/muddge/yolov3-person-only"},{"title":"fredotran/yolov3-opencvdnn","url":"https://github.com/fredotran/yolov3-opencvdnn"},{"title":"Tony363/Teamplay_Yolov3","url":"https://github.com/Tony363/Teamplay_Yolov3"},{"title":"usnistgov/object-detection-yolov3","url":"https://github.com/usnistgov/object-detection-yolov3"},{"title":"BlackAngel1111/Yolo3_Pytorch","url":"https://github.com/BlackAngel1111/Yolo3_Pytorch"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"sujaygarlanka/basketball-shot-count","url":"https://github.com/sujaygarlanka/basketball-shot-count"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov3"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"parth-shastri/YOLOv2","url":"https://github.com/parth-shastri/YOLOv2"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"euske/derpyolo","url":"https://github.com/euske/derpyolo"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"sidSingla/RegNetx-YOLOv3","url":"https://github.com/sidSingla/RegNetx-YOLOv3"},{"title":"gunooknam/Code_Study_Yolov3","url":"https://github.com/gunooknam/Code_Study_Yolov3"},{"title":"liulianjushi/yolo_v3_tf2.0","url":"https://github.com/liulianjushi/yolo_v3_tf2.0"},{"title":"Kev1nZheng/yolov_mask","url":"https://github.com/Kev1nZheng/yolov_mask"},{"title":"saransh317/YOLOv3-Easy-Implementation","url":"https://github.com/saransh317/YOLOv3-Easy-Implementation"},{"title":"guagen/yolov3-ultralytics-source","url":"https://github.com/guagen/yolov3-ultralytics-source"},{"title":"thecryboy/yolov3_ultralytics_deconv","url":"https://github.com/thecryboy/yolov3_ultralytics_deconv"},{"title":"Cjiangbpcs/cjiang.github.io","url":"https://github.com/Cjiangbpcs/cjiang.github.io"},{"title":"s0ntr4n97/datasets","url":"https://github.com/s0ntr4n97/datasets"},{"title":"k5iogura/darknetAB","url":"https://github.com/k5iogura/darknetAB"},{"title":"Code-Fight/darknet_study","url":"https://github.com/Code-Fight/darknet_study"},{"title":"sujaygarlanka/basketball_shot_count","url":"https://github.com/sujaygarlanka/basketball_shot_count"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"Jiachenyin1/Yolov3-U-attention-permuting","url":"https://github.com/Jiachenyin1/Yolov3-U-attention-permuting"},{"title":"Iqbal1282/yolov3_incremental_distillation_loss","url":"https://github.com/Iqbal1282/yolov3_incremental_distillation_loss"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"midnight4ever/yolov3","url":"https://github.com/midnight4ever/yolov3"},{"title":"kusti8/yolov3","url":"https://github.com/kusti8/yolov3"},{"title":"molyswu/knowledge-graph-embeding","url":"https://github.com/molyswu/knowledge-graph-embeding"},{"title":"Jintao-Huang/Darknet53_PyTorch","url":"https://github.com/Jintao-Huang/Darknet53_PyTorch"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"darkAlert/yolov3-rt","url":"https://github.com/darkAlert/yolov3-rt"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"phnk/yolov3","url":"https://github.com/phnk/yolov3"},{"title":"deeplearnproject/darknet","url":"https://github.com/deeplearnproject/darknet"},{"title":"XuanjieXiao/vehicle-detection-by-using-camera","url":"https://github.com/XuanjieXiao/vehicle-detection-by-using-camera"},{"title":"benjamintli/darknet-gun-detector","url":"https://github.com/benjamintli/darknet-gun-detector"},{"title":"Zhuoranbupt/ECE285fa19","url":"https://github.com/Zhuoranbupt/ECE285fa19"},{"title":"anhnktp/yolov3","url":"https://github.com/anhnktp/yolov3"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"PericlesPet/darknet-demo","url":"https://github.com/PericlesPet/darknet-demo"},{"title":"ycchiusieve/yolo3","url":"https://github.com/ycchiusieve/yolo3"},{"title":"ChengLeiWei/garbage-detect-using-YOLOv3-pytorch","url":"https://github.com/ChengLeiWei/garbage-detect-using-YOLOv3-pytorch"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"euske/miniyolo","url":"https://github.com/euske/miniyolo"},{"title":"maiminh1996/YOLOv3-tensorflow","url":"https://github.com/maiminh1996/YOLOv3-tensorflow"},{"title":"mutichung/yolov3_pt","url":"https://github.com/mutichung/yolov3_pt"},{"title":"albertsokol/yolov3-tf2","url":"https://github.com/albertsokol/yolov3-tf2"},{"title":"Qengineering/YoloV3-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano"},{"title":"jayin301/2021AutonomousACCar","url":"https://github.com/jayin301/2021AutonomousACCar"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"varunasthana92/YOLO_v3_implementation_Tensorflow2","url":"https://github.com/varunasthana92/YOLO_v3_implementation_Tensorflow2"},{"title":"2023-MindSpore-4/Code9","url":"https://github.com/2023-MindSpore-4/Code9/tree/main/YOLOv3"},{"title":"GiulioFischietti/Tirocinio","url":"https://github.com/GiulioFischietti/Tirocinio"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"rt55u-rgb/yolov3","url":"https://github.com/rt55u-rgb/yolov3"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"gakkifan2020/YoloV3_From_calmisential_workspace","url":"https://github.com/gakkifan2020/YoloV3_From_calmisential_workspace"},{"title":"sadicLiu/yolov3","url":"https://github.com/sadicLiu/yolov3"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"fi94/yolov3","url":"https://github.com/fi94/yolov3"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"PaiHsuehChung/DockerYOLOV3","url":"https://github.com/PaiHsuehChung/DockerYOLOV3"},{"title":"YCHung1998/Object-Detection","url":"https://github.com/YCHung1998/Object-Detection"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"rishikc137/social-distancing-detector","url":"https://github.com/rishikc137/social-distancing-detector"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"cuonga1cvp/yolov3_cuong","url":"https://github.com/cuonga1cvp/yolov3_cuong"},{"title":"thanhtran98/yolov3_jetbot","url":"https://github.com/thanhtran98/yolov3_jetbot"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Shellllllly/plateDetection","url":"https://github.com/Shellllllly/plateDetection"},{"title":"Raychou0830/Carplate","url":"https://github.com/Raychou0830/Carplate"},{"title":"zhanghuiyao/yolov3_mindspore","url":"https://github.com/zhanghuiyao/yolov3_mindspore"},{"title":"xuantruongdang/module-yolo","url":"https://github.com/xuantruongdang/module-yolo"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"zjjszj/yolov3","url":"https://github.com/zjjszj/yolov3"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"xinshasha/YoloV3","url":"https://github.com/xinshasha/YoloV3"},{"title":"liuji93/yolo_v3","url":"https://github.com/liuji93/yolo_v3"},{"title":"jellywangjie/yolov3","url":"https://github.com/jellywangjie/yolov3"},{"title":"MindSpore-paper-code-2/code3","url":"https://github.com/MindSpore-paper-code-2/code3/tree/main/yolov3_tiny"},{"title":"AbhinavJhanwar/face_detection","url":"https://github.com/AbhinavJhanwar/face_detection"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"GodofCCode/yolo3","url":"https://github.com/GodofCCode/yolo3"},{"title":"Hrishkesh/YoloInvoiceExtraction","url":"https://github.com/Hrishkesh/YoloInvoiceExtraction"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"dangWV/yolov3_darknet53","url":"https://github.com/dangWV/yolov3_darknet53"},{"title":"adairliulei/yolov3","url":"https://github.com/adairliulei/yolov3"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"lvweiwolf/efficientdet","url":"https://github.com/lvweiwolf/efficientdet"},{"title":"2023-MindSpore-4/Code14","url":"https://github.com/2023-MindSpore-4/Code14/tree/main/res2net_yolov3"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"hellotrik/torch_yolov3","url":"https://github.com/hellotrik/torch_yolov3"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"hanghang177/pedestrian_awareness","url":"https://github.com/hanghang177/pedestrian_awareness"},{"title":"harsh2011/Yolov3-Detector","url":"https://github.com/harsh2011/Yolov3-Detector"},{"title":"CZQ0707/mindspore","url":"https://github.com/CZQ0707/mindspore"},{"title":"madamak/ultrapy-yolov3-chess","url":"https://github.com/madamak/ultrapy-yolov3-chess"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"yet124/yolov3-pytorch","url":"https://github.com/yet124/yolov3-pytorch"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"AdolfoMatias/rede_neural_laranja_maca_adolfo","url":"https://github.com/AdolfoMatias/rede_neural_laranja_maca_adolfo"},{"title":"NovasMax/yolov3","url":"https://github.com/NovasMax/yolov3"},{"title":"TamirShasha/Mars_yolo","url":"https://github.com/TamirShasha/Mars_yolo"},{"title":"zzfpython/yolov3-change","url":"https://github.com/zzfpython/yolov3-change"},{"title":"tdurand/darknet-withtiling","url":"https://github.com/tdurand/darknet-withtiling"},{"title":"2023-MindSpore-1/ms-code-59","url":"https://github.com/2023-MindSpore-1/ms-code-59"},{"title":"bowensong0312/darknet","url":"https://github.com/bowensong0312/darknet"},{"title":"2023-MindSpore-1/ms-code-60","url":"https://github.com/2023-MindSpore-1/ms-code-60"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hirohiro23/Darknet","url":"https://github.com/hirohiro23/Darknet"},{"title":"peter8301120/darknet_t","url":"https://github.com/peter8301120/darknet_t"},{"title":"tommyjtl/darknet-colab","url":"https://github.com/tommyjtl/darknet-colab"},{"title":"Mind23-2/MindCode-127","url":"https://github.com/Mind23-2/MindCode-127"},{"title":"Lmonster/darknet","url":"https://github.com/Lmonster/darknet"},{"title":"eric-erki/darknetAB","url":"https://github.com/eric-erki/darknetAB"},{"title":"tmbaoloc/darknet","url":"https://github.com/tmbaoloc/darknet"},{"title":"AmitNativ1984/yolov3","url":"https://github.com/AmitNativ1984/yolov3"},{"title":"thodorostsao/4-leg-robot-neural-network","url":"https://github.com/thodorostsao/4-leg-robot-neural-network"},{"title":"kiruthick101/darknet","url":"https://github.com/kiruthick101/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"Chamchis/AICCTV","url":"https://github.com/Chamchis/AICCTV"},{"title":"Atom-min/MLBigWork","url":"https://github.com/Atom-min/MLBigWork"},{"title":"pminhtam/keras_yolo3","url":"https://github.com/pminhtam/keras_yolo3"},{"title":"ravenagcaoili/yolov3","url":"https://github.com/ravenagcaoili/yolov3"},{"title":"wrappr/wrappr-core","url":"https://github.com/wrappr/wrappr-core"},{"title":"MindSpore-paper-code-3/code5","url":"https://github.com/MindSpore-paper-code-3/code5/tree/main/res2net_yolov3"},{"title":"tade0726/yolov3_ui_error","url":"https://github.com/tade0726/yolov3_ui_error"},{"title":"jianmingwuhasco/yolov3","url":"https://github.com/jianmingwuhasco/yolov3"},{"title":"yrouphail/yolov3","url":"https://github.com/yrouphail/yolov3"},{"title":"modelhub-ai/yolo-v3","url":"https://github.com/modelhub-ai/yolo-v3"},{"title":"thinhhoang95/helipad-yolo","url":"https://github.com/thinhhoang95/helipad-yolo"},{"title":"TravisTorch/Pytorch","url":"https://github.com/TravisTorch/Pytorch"},{"title":"xxnote/stunning-doodle","url":"https://github.com/xxnote/stunning-doodle"},{"title":"MSJawad/yolov3","url":"https://github.com/MSJawad/yolov3"},{"title":"yushuz/me599_yolo","url":"https://github.com/yushuz/me599_yolo"},{"title":"alexismailov2/darknet","url":"https://github.com/alexismailov2/darknet"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"},{"title":"jih189/yolo3","url":"https://github.com/jih189/yolo3"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"NBvinay/vinb-ghost-car","url":"https://github.com/NBvinay/vinb-ghost-car"},{"title":"holytrick/AlexeyAB_darknet","url":"https://github.com/holytrick/AlexeyAB_darknet"},{"title":"Sujith2k/darknet","url":"https://github.com/Sujith2k/darknet"},{"title":"hwillard98/htmlify-yolo-training","url":"https://github.com/hwillard98/htmlify-yolo-training"},{"title":"OpenCv30/Yolov3","url":"https://github.com/OpenCv30/Yolov3"},{"title":"Smallflyfly/yolov3_ultralytics","url":"https://github.com/Smallflyfly/yolov3_ultralytics"},{"title":"swaubhik/social-distance-detector","url":"https://github.com/swaubhik/social-distance-detector"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"mdt48/yolov3-HotelsObjectDetection","url":"https://github.com/mdt48/yolov3-HotelsObjectDetection"},{"title":"munachisonwadike/YOLOV3","url":"https://github.com/munachisonwadike/YOLOV3"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"yrouphail/yolo-independent","url":"https://github.com/yrouphail/yolo-independent"},{"title":"mayanks888/yolo_custom","url":"https://github.com/mayanks888/yolo_custom"},{"title":"wdlctc/darknet","url":"https://github.com/wdlctc/darknet"},{"title":"xiaoxd16/Palm","url":"https://github.com/xiaoxd16/Palm"},{"title":"Ritik-Sharma38/YoloV3_training_Hands","url":"https://github.com/Ritik-Sharma38/YoloV3_training_Hands"},{"title":"aaron-wang-de/ab","url":"https://github.com/aaron-wang-de/ab"},{"title":"lobznet/yolov3","url":"https://github.com/lobznet/yolov3"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"takooctopus/Yolov3-Tako","url":"https://github.com/takooctopus/Yolov3-Tako"},{"title":"tanimutomo/ganonymizer","url":"https://github.com/tanimutomo/ganonymizer"},{"title":"zhangming8/libtorch-yolov3","url":"https://github.com/zhangming8/libtorch-yolov3"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"thecryboy/DECONV","url":"https://github.com/thecryboy/DECONV"},{"title":"benjamintli/training-results-azure","url":"https://github.com/benjamintli/training-results-azure"},{"title":"zeegeeko/YOLOv3","url":"https://github.com/zeegeeko/YOLOv3"},{"title":"jessychen1016/yolov3Onpytorch","url":"https://github.com/jessychen1016/yolov3Onpytorch"},{"title":"tms2003/yolov3","url":"https://github.com/tms2003/yolov3"},{"title":"vobecant/yolov3_WannaSeeU","url":"https://github.com/vobecant/yolov3_WannaSeeU"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"DarkGeekMS/Pytorch-YOLOv3-Implementation","url":"https://github.com/DarkGeekMS/Pytorch-YOLOv3-Implementation"},{"title":"fofore/yolov3-pyroch","url":"https://github.com/fofore/yolov3-pyroch"},{"title":"sergiosonline/transfercv","url":"https://github.com/sergiosonline/transfercv"},{"title":"GunjanChourasia/custom_detector_yolov3","url":"https://github.com/GunjanChourasia/custom_detector_yolov3"},{"title":"GianRomani/YOLOv3-Neural-Networks-project-","url":"https://github.com/GianRomani/YOLOv3-Neural-Networks-project-"},{"title":"nlee-208/face_mask_detection","url":"https://github.com/nlee-208/face_mask_detection"},{"title":"poojabhore12/SocialDistancing-Detector","url":"https://github.com/poojabhore12/SocialDistancing-Detector"},{"title":"loadbxh/yolov3","url":"https://github.com/loadbxh/yolov3"},{"title":"MRZWD/yolov3_caltech","url":"https://github.com/MRZWD/yolov3_caltech"},{"title":"Hiwyl/yolov3-attentation","url":"https://github.com/Hiwyl/yolov3-attentation"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"PolinaYA/yolov3","url":"https://github.com/PolinaYA/yolov3"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"mahavir-GPI/yolov3","url":"https://github.com/mahavir-GPI/yolov3"},{"title":"tkhhhh/yolov3-master","url":"https://github.com/tkhhhh/yolov3-master"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125515,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5n","metrics":{"FPS (V100, b=1)":"6.3","box AP":"28.0"},"paper_url":"https://ieeexplore.ieee.org/document/10478293","paper_title":"YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries","paper_date":"2024-03-22","code_links":[{"title":"cviviers/YOLOv5-6D-Pose","url":"https://github.com/cviviers/YOLOv5-6D-Pose"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":125516,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151154,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151155,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"59.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151156,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L6(1280)","metrics":{"FPS (V100, b=1)":"26","box AP":"57.2"},"paper_url":"https://arxiv.org/abs/2209.02976v1","paper_title":"YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications","paper_date":"2022-09-07","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"kadirnar/yolov6-pip","url":"https://github.com/kadirnar/yolov6-pip"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151157,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L+","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"57.1"},"paper_url":"https://arxiv.org/abs/2206.09379v2","paper_title":"0/1 Deep Neural Networks via Block Coordinate Descent","paper_date":"2022-06-19","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151158,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN6-E-ELAN(1280)","metrics":{"FPS (V100, b=1)":"31","box AP":"56.9"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151159,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6E(1280)","metrics":{"FPS (V100, b=1)":"36","box AP":"56.8"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151160,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-D6(1280)","metrics":{"FPS (V100, b=1)":"44","box AP":"56.6"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151161,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"56.5"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151162,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-H(640)","metrics":{"FPS (V100, b=1)":"40 (T4)","box AP":"56.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151163,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-E6(1280)","metrics":{"FPS (V100, b=1)":"56","box AP":"56"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151164,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-X","metrics":{"FPS (V100, b=1)":"78 (T4)","box AP":"55.8"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151165,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-E","metrics":{"box AP":"55.6"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151166,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-D6","metrics":{"FPS (V100, b=1)":"30","box AP":"55.4"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151167,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12x","metrics":{"FPS (V100, b=1)":"85 (T4)","box AP":"55.2"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151168,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M+","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"55.1"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151169,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-E","metrics":{"box AP":"55.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151170,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-W6(1280)","metrics":{"FPS (V100, b=1)":"84","box AP":"54.9"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151171,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-X","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151172,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-E6","metrics":{"FPS (V100, b=1)":"37","box AP":"54.8"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151173,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151174,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11x","metrics":{"FPS (V100, b=1)":"88 (T4)","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151175,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_X","metrics":{"FPS (V100, b=1)":"45","box AP":"54.7"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151176,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-X","metrics":{"box AP":"54.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151177,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-R101","metrics":{"FPS (V100, b=1)":"74 (T4)","box AP":"54.3"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151178,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-W6","metrics":{"FPS (V100, b=1)":"47","box AP":"54.1"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151179,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-L","metrics":{"FPS (V100, b=1)":"124 (T4)","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151180,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L(distillation)","metrics":{"FPS (V100, b=1)":"78","box AP":"54.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151181,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12l","metrics":{"FPS (V100, b=1)":"148 (T4)","box AP":"53.7"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151182,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11l","metrics":{"FPS (V100, b=1)":"161 (T4)","box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151183,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-L","metrics":{"box AP":"53.4"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151184,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-MSP","metrics":{"FPS (V100, b=1)":"94","box AP":"53.3"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151185,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv7-X","metrics":{"FPS (V100, b=1)":"114","box AP":"53.1"},"paper_url":"https://arxiv.org/abs/2207.02696v1","paper_title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","paper_date":"2022-07-06","code_links":[{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"wongkinyiu/yolov7","url":"https://github.com/wongkinyiu/yolov7"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv7-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection"},{"title":"securade/hub","url":"https://github.com/securade/hub"},{"title":"mkang315/rcs-yolo","url":"https://github.com/mkang315/rcs-yolo"},{"title":"xinwei666/mmgenerativeir","url":"https://github.com/xinwei666/mmgenerativeir"},{"title":"kadirnar/yolov7-pip","url":"https://github.com/kadirnar/yolov7-pip"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"zhanghuiyao/yolov7_mindspore","url":"https://github.com/zhanghuiyao/yolov7_mindspore"},{"title":"mikel-brostrom/yolov7","url":"https://github.com/mikel-brostrom/yolov7"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"},{"title":"dnozza/profanity-obfuscation","url":"https://github.com/dnozza/profanity-obfuscation"},{"title":"Mind23-2/MindCode-129","url":"https://github.com/Mind23-2/MindCode-129"},{"title":"ogatarina-sq/secyolov7","url":"https://github.com/ogatarina-sq/secyolov7"},{"title":"AbhinavJhanwar/object-detection-classification","url":"https://github.com/AbhinavJhanwar/object-detection-classification"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151186,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RT-DETR-L","metrics":{"FPS (V100, b=1)":"114 (T4)","box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2304.08069v3","paper_title":"DETRs Beat YOLOs on Real-time Object Detection","paper_date":"2023-04-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"lyuwenyu/RT-DETR","url":"https://github.com/lyuwenyu/RT-DETR"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"MS-P3/code7","url":"https://github.com/MS-P3/code7/tree/main/yolos"},{"title":"MindSpore-scientific/code-7","url":"https://github.com/MindSpore-scientific/code-7/tree/main/YOLOS"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151187,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6D","metrics":{"FPS (V100, b=1)":"49","box AP":"53"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151188,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-C","metrics":{"box AP":"53.0"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151189,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_L","metrics":{"FPS (V100, b=1)":"78","box AP":"52.9"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151190,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-L","metrics":{"FPS (V100, b=1)":"98","box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151191,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"RTMDet","metrics":{"box AP":"52.8"},"paper_url":"https://arxiv.org/abs/2212.07784v2","paper_title":"RTMDet: An Empirical Study of Designing Real-Time Object Detectors","paper_date":"2022-12-14","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"open-mmlab/mmrotate","url":"https://github.com/open-mmlab/mmrotate"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"yxb-nku/strip-r-cnn","url":"https://github.com/yxb-nku/strip-r-cnn"},{"title":"HVision-NKU/Strip-R-CNN","url":"https://github.com/HVision-NKU/Strip-R-CNN"},{"title":"fiveai/MoCaE","url":"https://github.com/fiveai/MoCaE"},{"title":"yuyi1005/point2rbox-mmrotate","url":"https://github.com/yuyi1005/point2rbox-mmrotate"},{"title":"cszzshi/SimD","url":"https://github.com/cszzshi/SimD"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"V3Det/mmdetection-V3Det","url":"https://github.com/V3Det/mmdetection-V3Det"},{"title":"RangiLyu/mmdetection_test","url":"https://github.com/RangiLyu/mmdetection_test"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151192,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151193,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-B","metrics":{"box AP":"52.7"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151194,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOR-P6","metrics":{"FPS (V100, b=1)":"49","box AP":"52.6"},"paper_url":"https://arxiv.org/abs/2105.04206v1","paper_title":"You Only Learn One Representation: Unified Network for Multiple Tasks","paper_date":"2021-05-10","code_links":[{"title":"WongKinYiu/yolor","url":"https://github.com/WongKinYiu/yolor"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolor"},{"title":"SnailDev/github-hot-hub","url":"https://github.com/SnailDev/github-hot-hub"},{"title":"lonnyzhang423/github-hot-hub","url":"https://github.com/lonnyzhang423/github-hot-hub"},{"title":"DataXujing/YOLOR-","url":"https://github.com/DataXujing/YOLOR-"},{"title":"alexeyab/yolor","url":"https://github.com/alexeyab/yolor"},{"title":"yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR","url":"https://github.com/yasarniyazoglu/YOLOR-----Object-Detection-in-Custom-Data-with-YoloR"},{"title":"totoadel/Minst","url":"https://github.com/totoadel/Minst"},{"title":"rjlallana/YOLO","url":"https://github.com/rjlallana/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151195,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12m","metrics":{"FPS (V100, b=1)":"206 (T4)","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151196,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-ELAN","metrics":{"FPS (V100, b=1)":"70","box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151197,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-C","metrics":{"box AP":"52.5"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151198,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-M","metrics":{"FPS (V100, b=1)":"178 (T4)","box AP":"52.3"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151199,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PRB-FPN-CSP","metrics":{"FPS (V100, b=1)":"113","box AP":"51.8"},"paper_url":"https://arxiv.org/abs/2012.01724v5","paper_title":"Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection","paper_date":"2020-12-03","code_links":[{"title":"pingyang1117/PRBNet_PyTorch","url":"https://github.com/pingyang1117/PRBNet_PyTorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151200,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11m","metrics":{"FPS (V100, b=1)":"212 (T4)","box AP":"51.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151201,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-M","metrics":{"box AP":"51.4"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151202,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-M","metrics":{"box AP":"51.3"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151203,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOm","metrics":{"box AP":"51.2"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151204,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-M","metrics":{"box AP":"51.1"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151205,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3","metrics":{"FPS (V100, b=1)":"123","box AP":"51.0"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151206,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-L","metrics":{"FPS (V100, b=1)":"126","box AP":"50.8"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151207,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S+","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"50.7"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151208,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5-X","metrics":{"FPS (V100, b=1)":"62.5","box AP":"50.4"},"paper_url":"https://arxiv.org/abs/2107.08430v2","paper_title":"YOLOX: Exceeding YOLO Series in 2021","paper_date":"2021-07-18","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"Megvii-BaseDetection/YOLOX","url":"https://github.com/Megvii-BaseDetection/YOLOX"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"leondgarse/keras_cv_attention_models","url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolox"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"},{"title":"qy1994-0919/cfpnet","url":"https://github.com/qy1994-0919/cfpnet"},{"title":"texasinstruments/edgeai-yolox","url":"https://github.com/texasinstruments/edgeai-yolox"},{"title":"wangdongdut/dut-anti-uav","url":"https://github.com/wangdongdut/dut-anti-uav"},{"title":"MegEngine/YOLOX","url":"https://github.com/MegEngine/YOLOX"},{"title":"zhangming8/yolox-pytorch","url":"https://github.com/zhangming8/yolox-pytorch"},{"title":"NEUAutonomousDriving408/CIVCAutonomousDriving","url":"https://github.com/NEUAutonomousDriving408/CIVCAutonomousDriving"},{"title":"DataXujing/YOLOX-","url":"https://github.com/DataXujing/YOLOX-"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"jinsheng124/yolox","url":"https://github.com/jinsheng124/yolox"},{"title":"apolloauto/apollo-model-yolox","url":"https://github.com/apolloauto/apollo-model-yolox"},{"title":"jesse01/paddle-yolox","url":"https://github.com/jesse01/paddle-yolox"},{"title":"middleprince/YOLOX-SS","url":"https://github.com/middleprince/YOLOX-SS"},{"title":"code-implementation1/Code7","url":"https://github.com/code-implementation1/Code7/tree/main/res2net_yolov3"},{"title":"chenyicai-0611/YOLOX-Flask-deployment","url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment"},{"title":"lazyn1997/YOLOX","url":"https://github.com/lazyn1997/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOX"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/YOLOv3"},{"title":"newsun-boki/yolox-openvino-video-infer","url":"https://github.com/newsun-boki/yolox-openvino-video-infer"},{"title":"newsun-boki/yolovx-openvino-c--video-infer","url":"https://github.com/newsun-boki/yolovx-openvino-c--video-infer"},{"title":"liuyuan000/yolox_sar","url":"https://github.com/liuyuan000/yolox_sar"},{"title":"2023-MindSpore-1/ms-code-182","url":"https://github.com/2023-MindSpore-1/ms-code-182"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOX"},{"title":"xiyie/yolox","url":"https://github.com/xiyie/yolox"},{"title":"MindSpore-paper-code-2/code2","url":"https://github.com/MindSpore-paper-code-2/code2/tree/main/res2net_yolov3"},{"title":"pmj110119/yolox","url":"https://github.com/pmj110119/yolox"},{"title":"2023-MindSpore-1/ms-code-216","url":"https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net_yolov3"},{"title":"mszpc/yolox","url":"https://github.com/mszpc/yolox"},{"title":"pistachio0812/YOLOX","url":"https://github.com/pistachio0812/YOLOX"},{"title":"2023-MindSpore-1/ms-code-194","url":"https://github.com/2023-MindSpore-1/ms-code-194"},{"title":"2023-MindSpore-1/ms-code-191","url":"https://github.com/2023-MindSpore-1/ms-code-191"},{"title":"kisna-aryan/YOLOX","url":"https://github.com/kisna-aryan/YOLOX"},{"title":"StephenStorm/YOLOX","url":"https://github.com/StephenStorm/YOLOX"},{"title":"2023-MindSpore-1/ms-code-31","url":"https://github.com/2023-MindSpore-1/ms-code-31"},{"title":"arnavr.neo/YOLOX","url":"https://dagshub.com/arnavr.neo/YOLOX"},{"title":"gloria111/YOLOX_paddle","url":"https://github.com/gloria111/YOLOX_paddle"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151209,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S6(1280)","metrics":{"FPS (V100, b=1)":"98","box AP":"50.3"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151210,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-M","metrics":{"FPS (V100, b=1)":"175","box AP":"50.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151211,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"PP-YOLOE+_M","metrics":{"box AP":"49.8"},"paper_url":"https://arxiv.org/abs/2203.16250v3","paper_title":"PP-YOLOE: An evolved version of YOLO","paper_date":"2022-03-30","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"open-mmlab/mmyolo","url":"https://github.com/open-mmlab/mmyolo"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"Nioolek/PPYOLOE_pytorch","url":"https://github.com/Nioolek/PPYOLOE_pytorch"},{"title":"Gaurav14cs17/YOLOE","url":"https://github.com/Gaurav14cs17/YOLOE"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv5"},{"title":"Mind23-2/MindCode-130","url":"https://github.com/Mind23-2/MindCode-130"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151212,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-M","metrics":{"FPS (V100, b=1)":"233","box AP":"49.2"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151213,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"49.0"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151214,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"D-FINE-S","metrics":{"FPS (V100, b=1)":"287 (T4)","box AP":"48.5"},"paper_url":"https://arxiv.org/abs/2410.13842v1","paper_title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","paper_date":"2024-10-17","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"Peterande/D-FINE","url":"https://github.com/Peterande/D-FINE"},{"title":"open-edge-platform/training_extensions","url":"https://github.com/open-edge-platform/training_extensions"},{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"},{"title":"open-edge-platform/geti","url":"https://github.com/open-edge-platform/geti"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151215,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12s","metrics":{"FPS (V100, b=1)":"383 (T4)","box AP":"48.0"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151216,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOs","metrics":{"box AP":"47.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151217,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11s","metrics":{"FPS (V100, b=1)":"400 (T4)","box AP":"47.0"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151218,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv9-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151219,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-S","metrics":{"box AP":"46.8"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151220,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"GELAN-S","metrics":{"box AP":"46.7"},"paper_url":"https://arxiv.org/abs/2402.13616v2","paper_title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","paper_date":"2024-02-21","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"},{"title":"wongkinyiu/yolov9","url":"https://github.com/wongkinyiu/yolov9"},{"title":"WongKinYiu/YOLO","url":"https://github.com/WongKinYiu/YOLO"},{"title":"ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv9-MIT-Object-Detection"},{"title":"henrytsui000/YOLO","url":"https://github.com/henrytsui000/YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151221,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-S","metrics":{"FPS (V100, b=1)":"325","box AP":"46"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151222,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-S","metrics":{"FPS (V100, b=1)":"339","box AP":"45.0"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151223,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-L","metrics":{"FPS (V100, b=1)":"23","box AP":"43.5"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151224,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-M","metrics":{"FPS (V100, b=1)":"31","box AP":"43.0"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151225,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"MAFYOLOn","metrics":{"box AP":"42.4"},"paper_url":"https://arxiv.org/abs/2407.04381v1","paper_title":"Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection","paper_date":"2024-07-05","code_links":[{"title":"yang-0201/MAF-YOLO","url":"https://github.com/yang-0201/MAF-YOLO"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151226,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DAMO-YOLO-T","metrics":{"FPS (V100, b=1)":"397","box AP":"42"},"paper_url":"https://arxiv.org/abs/2211.15444v4","paper_title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","paper_date":"2022-11-23","code_links":[{"title":"modelscope/modelscope","url":"https://github.com/modelscope/modelscope"},{"title":"tinyvision/damo-yolo","url":"https://github.com/tinyvision/damo-yolo"},{"title":"alibaba/lightweight-neural-architecture-search","url":"https://github.com/alibaba/lightweight-neural-architecture-search"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151227,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"Faster RCNN-FPN+","metrics":{"FPS (V100, b=1)":"26","box AP":"42"},"paper_url":"https://arxiv.org/abs/2005.12872v3","paper_title":"End-to-End Object Detection with Transformers","paper_date":"2020-05-26","code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/projects/detr"},{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"facebookresearch/detr","url":"https://github.com/facebookresearch/detr"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"IDEA-Research/detrex","url":"https://github.com/IDEA-Research/detrex"},{"title":"facebookresearch/swav","url":"https://github.com/facebookresearch/swav"},{"title":"alibaba/EasyCV","url":"https://github.com/alibaba/EasyCV"},{"title":"BR-IDL/PaddleViT","url":"https://github.com/BR-IDL/PaddleViT/blob/main/object_detection/DETR"},{"title":"Visual-Behavior/detr-tensorflow","url":"https://github.com/Visual-Behavior/detr-tensorflow"},{"title":"DataXujing/TensorRT-DETR","url":"https://github.com/DataXujing/TensorRT-DETR"},{"title":"mlpc-ucsd/PRTR","url":"https://github.com/mlpc-ucsd/PRTR"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"Visual-Behavior/aloception","url":"https://github.com/Visual-Behavior/aloception"},{"title":"Leonardo-Blanger/detr_tensorflow","url":"https://github.com/Leonardo-Blanger/detr_tensorflow"},{"title":"EmGarr/kerod","url":"https://github.com/EmGarr/kerod"},{"title":"marcusnerva/hmn","url":"https://github.com/marcusnerva/hmn"},{"title":"clive819/Modified-DETR","url":"https://github.com/clive819/Modified-DETR"},{"title":"benywon/ChiQA","url":"https://github.com/benywon/ChiQA"},{"title":"longbai1006/surgical-vqla","url":"https://github.com/longbai1006/surgical-vqla"},{"title":"birder/birder","url":"https://gitlab.com/birder/birder"},{"title":"tahmid0007/DETR_FineTune","url":"https://github.com/tahmid0007/DETR_FineTune"},{"title":"Li-ai-cell/Interpretation_DETR","url":"https://github.com/Li-ai-cell/Interpretation_DETR"},{"title":"JunnYu/x-transformers-paddle","url":"https://github.com/JunnYu/x-transformers-paddle"},{"title":"xiuyu0000/papers_with_examples","url":"https://github.com/xiuyu0000/papers_with_examples/tree/main/detr/"},{"title":"hsfzxjy/swavx","url":"https://github.com/hsfzxjy/swavx"},{"title":"pranavjadhav001/detr_keras","url":"https://github.com/pranavjadhav001/detr_keras"},{"title":"2024-MindSpore-1/Code2","url":"https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/detr"},{"title":"abdksyed/DETR","url":"https://github.com/abdksyed/DETR"},{"title":"jiaxu-Zhu/DETR","url":"https://github.com/jiaxu-Zhu/DETR"},{"title":"ananyahjha93/swav","url":"https://github.com/ananyahjha93/swav"},{"title":"Saloni1Parekh609/MIDAS","url":"https://github.com/Saloni1Parekh609/MIDAS"},{"title":"w-sugar/prtr","url":"https://github.com/w-sugar/prtr"},{"title":"yangyucheng000/DETR","url":"https://github.com/yangyucheng000/DETR"},{"title":"2023-MindSpore-1/ms-code-69","url":"https://github.com/2023-MindSpore-1/ms-code-69"},{"title":"ywsyws/FormationSimplon20200622dlKeras","url":"https://github.com/ywsyws/FormationSimplon20200622dlKeras"},{"title":"LKLQQ/detr","url":"https://github.com/LKLQQ/detr"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151228,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv4-S","metrics":{"FPS (V100, b=1)":"38","box AP":"41.2"},"paper_url":"https://arxiv.org/abs/2004.10934v1","paper_title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","paper_date":"2020-04-23","code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/official/vision/beta/projects/yolo"},{"title":"pjreddie/darknet","url":"https://github.com/pjreddie/darknet"},{"title":"AlexeyAB/darknet","url":"https://github.com/AlexeyAB/darknet"},{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"mikel-brostrom/Yolov5_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch"},{"title":"Tianxiaomo/pytorch-YOLOv4","url":"https://github.com/Tianxiaomo/pytorch-YOLOv4"},{"title":"hunglc007/tensorflow-yolov4-tflite","url":"https://github.com/hunglc007/tensorflow-yolov4-tflite"},{"title":"bubbliiiing/yolov4-pytorch","url":"https://github.com/bubbliiiing/yolov4-pytorch"},{"title":"kritiksoman/GIMP-ML","url":"https://github.com/kritiksoman/GIMP-ML"},{"title":"maudzung/Complex-YOLOv4-Pytorch","url":"https://github.com/maudzung/Complex-YOLOv4-Pytorch"},{"title":"chonyy/AI-basketball-analysis","url":"https://github.com/chonyy/AI-basketball-analysis"},{"title":"david8862/keras-YOLOv3-model-set","url":"https://github.com/david8862/keras-YOLOv3-model-set"},{"title":"nemonameless/PaddleDetection_YOLOSeries","url":"https://github.com/nemonameless/PaddleDetection_YOLOSeries"},{"title":"hustvl/sparseinst","url":"https://github.com/hustvl/sparseinst"},{"title":"wuzhihao7788/yolodet-pytorch","url":"https://github.com/wuzhihao7788/yolodet-pytorch"},{"title":"maudzung/YOLO3D-YOLOv4-PyTorch","url":"https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch"},{"title":"chonyy/ML-auto-baseball-pitching-overlay","url":"https://github.com/chonyy/ML-auto-baseball-pitching-overlay"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/official/cv/yolov4"},{"title":"hhk7734/tensorflow-yolov4","url":"https://github.com/hhk7734/tensorflow-yolov4"},{"title":"VCasecnikovs/Yet-Another-YOLOv4-Pytorch","url":"https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch"},{"title":"OwlTing/AI_basketball_games_video_editor","url":"https://github.com/OwlTing/AI_basketball_games_video_editor"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"Ededu1984/car_detection_forza_horizon","url":"https://github.com/Ededu1984/car_detection_forza_horizon"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-4","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4"},{"title":"Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit","url":"https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-64-bit"},{"title":"GZQ0723/YoloV4","url":"https://github.com/GZQ0723/YoloV4"},{"title":"wangermeng2021/Scaled-YOLOv4-tensorflow2","url":"https://github.com/wangermeng2021/Scaled-YOLOv4-tensorflow2"},{"title":"oaqoe-DWQ/Yolov5_DeepSort_Pytorch","url":"https://github.com/oaqoe-DWQ/Yolov5_DeepSort_Pytorch"},{"title":"Dodant/ANPR-with-Yolov4","url":"https://github.com/Dodant/ANPR-with-Yolov4"},{"title":"LdDl/odam","url":"https://github.com/LdDl/odam"},{"title":"WinstonLy/Electricity-Inspection-Based-Ascend310","url":"https://github.com/WinstonLy/Electricity-Inspection-Based-Ascend310"},{"title":"Lornatang/YOLOv4-PyTorch","url":"https://github.com/Lornatang/YOLOv4-PyTorch"},{"title":"youchangxin/YOLOv4_tensorflow2","url":"https://github.com/youchangxin/YOLOv4_tensorflow2"},{"title":"WuPedin/Multi-class_Yolov5_DeepSort_Pytorch","url":"https://github.com/WuPedin/Multi-class_Yolov5_DeepSort_Pytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Little-BigMan/YOLOv4","url":"https://github.com/Little-BigMan/YOLOv4"},{"title":"Abhi-899/YOLOV4-Custom-Object-Detection","url":"https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"robbebluecp/tf2-yolov4","url":"https://github.com/robbebluecp/tf2-yolov4"},{"title":"leduckhai/Global-Wheat-Detection-Kaggle","url":"https://github.com/leduckhai/Global-Wheat-Detection-Kaggle"},{"title":"ruyueshuo/YOLOv4_Deployment","url":"https://github.com/ruyueshuo/YOLOv4_Deployment"},{"title":"ruyueshuo/DeepStream_YOLOv4","url":"https://github.com/ruyueshuo/DeepStream_YOLOv4"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"samirgholipour/speed_estimation","url":"https://github.com/samirgholipour/speed_estimation"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"rechardchen123/YOLOv4_traffic_sign_detection","url":"https://github.com/rechardchen123/YOLOv4_traffic_sign_detection"},{"title":"leggedrobotics/darknet","url":"https://github.com/leggedrobotics/darknet"},{"title":"wiegehtki/zoneminder","url":"https://github.com/wiegehtki/zoneminder"},{"title":"dec880126/YOLOv4-Self-driving","url":"https://github.com/dec880126/YOLOv4-Self-driving"},{"title":"simplew2011/YOLO_ZOO","url":"https://github.com/simplew2011/YOLO_ZOO"},{"title":"wiegehtki/zoneminder-jetson","url":"https://github.com/wiegehtki/zoneminder-jetson"},{"title":"nuaaceieyty/Paddle-YOLOv4","url":"https://github.com/nuaaceieyty/Paddle-YOLOv4"},{"title":"dec880126/Self-driving-with-YOLO","url":"https://github.com/dec880126/Self-driving-with-YOLO"},{"title":"wiegehtki/nvjetson_opencv_gsi","url":"https://github.com/wiegehtki/nvjetson_opencv_gsi"},{"title":"yousefis/darknet-ocr","url":"https://github.com/yousefis/darknet-ocr"},{"title":"kmt112/probable-lamp","url":"https://github.com/kmt112/probable-lamp"},{"title":"Qengineering/YoloV4-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano"},{"title":"bok9504/UAV_MOT_LineRegistration","url":"https://github.com/bok9504/UAV_MOT_LineRegistration"},{"title":"taeokimeng/object-detection-yolo","url":"https://github.com/taeokimeng/object-detection-yolo"},{"title":"SravanChittupalli/COVID-19-Mask_detector","url":"https://github.com/SravanChittupalli/COVID-19-Mask_detector"},{"title":"sid-sangal/RealTime","url":"https://github.com/sid-sangal/RealTime"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"miguelard/cloth_point_cloud_segmentation","url":"https://github.com/miguelard/cloth_point_cloud_segmentation"},{"title":"RunzhaoHuang/DeepSort_YOLOV5_OnScreen","url":"https://github.com/RunzhaoHuang/DeepSort_YOLOV5_OnScreen"},{"title":"nabarunbaruaAIML/ATCC_Yolov5","url":"https://github.com/nabarunbaruaAIML/ATCC_Yolov5"},{"title":"MEME-Phoenix/MEME","url":"https://github.com/MEME-Phoenix/MEME"},{"title":"emportent/Bonobo_Chimp","url":"https://github.com/emportent/Bonobo_Chimp"},{"title":"MEME-Phoenix/Autonomous-Driving-Cart-MEME","url":"https://github.com/MEME-Phoenix/Autonomous-Driving-Cart-MEME"},{"title":"akinsezer26/PersonDetection_TelegramBot","url":"https://github.com/akinsezer26/PersonDetection_TelegramBot"},{"title":"oyeabhijit/yolo-obj-detection","url":"https://github.com/oyeabhijit/yolo-obj-detection"},{"title":"Lebhoryi/keras-YOLOv3-model-set","url":"https://github.com/Lebhoryi/keras-YOLOv3-model-set"},{"title":"ravindra579/object-detection_yolov4","url":"https://github.com/ravindra579/object-detection_yolov4"},{"title":"Yuzi0123/MindSpore_Yolov5","url":"https://github.com/Yuzi0123/MindSpore_Yolov5"},{"title":"TKGgunter/yolov4_tiny_rs","url":"https://github.com/TKGgunter/yolov4_tiny_rs"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"kondukberna/Car_Detection","url":"https://github.com/kondukberna/Car_Detection"},{"title":"SeventhBlue/trainDarknet-yolov4","url":"https://github.com/SeventhBlue/trainDarknet-yolov4"},{"title":"SeventhBlue/trainDarknet-yolov3","url":"https://github.com/SeventhBlue/trainDarknet-yolov3"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"jason-hu7/PyTorch-YOLOv4","url":"https://github.com/jason-hu7/PyTorch-YOLOv4"},{"title":"ridhaalkhabaz/YTVidObjectDectector","url":"https://github.com/ridhaalkhabaz/YTVidObjectDectector"},{"title":"goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision","url":"https://github.com/goswal/Pothole-Detection-Using-Deep-Learning-and-Computer-Vision"},{"title":"JisuHann/Object-Tracking","url":"https://github.com/JisuHann/Object-Tracking"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"capstone-w3/trash_parent_repo","url":"https://github.com/capstone-w3/trash_parent_repo"},{"title":"sciosci/graph_check","url":"https://github.com/sciosci/graph_check"},{"title":"JC1DA/yolo_streamer","url":"https://github.com/JC1DA/yolo_streamer"},{"title":"JisuHann/MEME-Tracking","url":"https://github.com/JisuHann/MEME-Tracking"},{"title":"weidalin/yolov4_mixup","url":"https://github.com/weidalin/yolov4_mixup"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"Mohammad-Asad-110/Fashion-Recommendation","url":"https://github.com/Mohammad-Asad-110/Fashion-Recommendation"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"nataliele/waldo","url":"https://github.com/nataliele/waldo"},{"title":"smin107/CapstoneDesign","url":"https://github.com/smin107/CapstoneDesign"},{"title":"stevedepp/yolo4asl","url":"https://github.com/stevedepp/yolo4asl"},{"title":"Hardly-Human/Yolo-Object-Detector","url":"https://github.com/Hardly-Human/Yolo-Object-Detector"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"UtkarshKharche29/Automatic-Number-Plate-Recognition","url":"https://github.com/UtkarshKharche29/Automatic-Number-Plate-Recognition"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"Windxy/YOLOv4-Based-on-PaddleDetection","url":"https://github.com/Windxy/YOLOv4-Based-on-PaddleDetection"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"seongilp/DFE604-2020F-FinalProject","url":"https://github.com/seongilp/DFE604-2020F-FinalProject"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"VinishUchiha/Object-Detection-Using-Yolo4","url":"https://github.com/VinishUchiha/Object-Detection-Using-Yolo4"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"ajcohen1/CoVision-Social-Distance-Violation-Detection","url":"https://github.com/ajcohen1/CoVision-Social-Distance-Violation-Detection"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"2023-MindSpore-4/Code10","url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOv4"},{"title":"KingGugu/YOLOv4","url":"https://github.com/KingGugu/YOLOv4"},{"title":"zhanghuiyao/yolov5_mindspore","url":"https://github.com/zhanghuiyao/yolov5_mindspore"},{"title":"liuch37/image-processing","url":"https://github.com/liuch37/image-processing"},{"title":"ayoungkang/yolov4","url":"https://github.com/ayoungkang/yolov4"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov4"},{"title":"WuJiang1996/pytorch-YOLOv4","url":"https://github.com/WuJiang1996/pytorch-YOLOv4"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"nemonameless/PaddleDetection_YOLOX","url":"https://github.com/nemonameless/PaddleDetection_YOLOX"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"GuoQuanhao/YOLOv4-Paddle","url":"https://github.com/GuoQuanhao/YOLOv4-Paddle"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"ayoungkang/pytorch_Yolov4_lane-detection","url":"https://github.com/ayoungkang/pytorch_Yolov4_lane-detection"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"MindSpore-paper-code-3/code8","url":"https://github.com/MindSpore-paper-code-3/code8/tree/main/cspdarknet53"},{"title":"ManoniLo/keras-YOLOv3-model-set__Fastest","url":"https://github.com/ManoniLo/keras-YOLOv3-model-set__Fastest"},{"title":"2023-MindSpore-1/ms-code-51","url":"https://github.com/2023-MindSpore-1/ms-code-51"},{"title":"sushmaakoju/yolo","url":"https://github.com/sushmaakoju/yolo"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"husty530/Yamashita-darknet","url":"https://github.com/husty530/Yamashita-darknet"},{"title":"rynsy/darknet","url":"https://github.com/rynsy/darknet"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"gzw820/PyTorch_YOLOv4","url":"https://github.com/gzw820/PyTorch_YOLOv4"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"cmf3673/spotti","url":"https://github.com/cmf3673/spotti"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"issaiass/FacialMaskDetector","url":"https://github.com/issaiass/FacialMaskDetector"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"sung0471/pytorch-YOLOv4","url":"https://github.com/sung0471/pytorch-YOLOv4"},{"title":"Jonashellevang/Weapons_Detection_YOLOv3","url":"https://github.com/Jonashellevang/Weapons_Detection_YOLOv3"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"wonseok-Jang/ros_darknet","url":"https://github.com/wonseok-Jang/ros_darknet"},{"title":"xuanloct4/darknet","url":"https://github.com/xuanloct4/darknet"},{"title":"scienXX/roomcamera2","url":"https://github.com/scienXX/roomcamera2"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"yashkarbhari/YOLOv4_ObjectDetection_tf2","url":"https://github.com/yashkarbhari/YOLOv4_ObjectDetection_tf2"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"},{"title":"HeegonJin/yolov1","url":"https://github.com/HeegonJin/yolov1"},{"title":"Marcos14Almeida/darknet","url":"https://github.com/Marcos14Almeida/darknet"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"ZhiqiWang12/try_darknet","url":"https://github.com/ZhiqiWang12/try_darknet"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Linby1103/Darknet-Python-Interface","url":"https://github.com/Linby1103/Darknet-Python-Interface"},{"title":"CaiYingFeng/darknet_changed","url":"https://github.com/CaiYingFeng/darknet_changed"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"Pedestrian1671022/darknet","url":"https://github.com/Pedestrian1671022/darknet"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"RedWang1989/YOLOv4","url":"https://github.com/RedWang1989/YOLOv4"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Ashish-Sankritya/darknet_CNN","url":"https://github.com/Ashish-Sankritya/darknet_CNN"},{"title":"gihants/darknet_built","url":"https://github.com/gihants/darknet_built"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"GeeGeeWP/SCML","url":"https://github.com/GeeGeeWP/SCML"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"Veternal1226/YOLO_darknet","url":"https://github.com/Veternal1226/YOLO_darknet"},{"title":"vamshi4067/Anomaly-detection-using-computer-vision","url":"https://github.com/vamshi4067/Anomaly-detection-using-computer-vision"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"thekauer/traindarknet","url":"https://github.com/thekauer/traindarknet"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Gavino7/YOLOv3set","url":"https://github.com/Gavino7/YOLOv3set"},{"title":"rahzaazhar/Test-Remote","url":"https://github.com/rahzaazhar/Test-Remote"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hunter10bt/DeepLearningFinalPresentation","url":"https://github.com/hunter10bt/DeepLearningFinalPresentation"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151229,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv12n","metrics":{"FPS (V100, b=1)":"610 (T4)","box AP":"40.6"},"paper_url":"https://arxiv.org/abs/2502.14740v1","paper_title":"YOLOv12: A Breakdown of the Key Architectural Features","paper_date":"2025-02-20","code_links":[],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":151230,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv11n","metrics":{"FPS (V100, b=1)":"667 (T4)","box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2410.17725v1","paper_title":"YOLOv11: An Overview of the Key Architectural Enhancements","paper_date":"2024-10-23","code_links":[{"title":"ultralytics/ultralytics","url":"https://github.com/ultralytics/ultralytics"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151231,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv10-N","metrics":{"box AP":"39.5"},"paper_url":"https://arxiv.org/abs/2405.14458v2","paper_title":"YOLOv10: Real-Time End-to-End Object Detection","paper_date":"2024-05-23","code_links":[{"title":"THU-MIG/yolov10","url":"https://github.com/THU-MIG/yolov10"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"ibaiGorordo/ONNX-YOLOv10-Object-Detection","url":"https://github.com/ibaiGorordo/ONNX-YOLOv10-Object-Detection"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151232,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv6-N","metrics":{"FPS (V100, b=1)":"779","box AP":"37.5"},"paper_url":"https://arxiv.org/abs/2301.05586v1","paper_title":"YOLOv6 v3.0: A Full-Scale Reloading","paper_date":"2023-01-13","code_links":[{"title":"PaddlePaddle/PaddleDetection","url":"https://github.com/PaddlePaddle/PaddleDetection"},{"title":"meituan/yolov6","url":"https://github.com/meituan/yolov6"},{"title":"PaddlePaddle/PaddleYOLO","url":"https://github.com/PaddlePaddle/PaddleYOLO"},{"title":"yang-0201/YOLOv6_pro","url":"https://github.com/yang-0201/YOLOv6_pro"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151233,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv3-L","metrics":{"box AP":"33.0"},"paper_url":"http://arxiv.org/abs/1804.02767v1","paper_title":"YOLOv3: An Incremental Improvement","paper_date":"2018-04-08","code_links":[{"title":"open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection"},{"title":"ultralytics/yolov3","url":"https://github.com/ultralytics/yolov3"},{"title":"qqwweee/keras-yolo3","url":"https://github.com/qqwweee/keras-yolo3"},{"title":"Deci-AI/super-gradients","url":"https://github.com/Deci-AI/super-gradients"},{"title":"YunYang1994/tensorflow-yolov3","url":"https://github.com/YunYang1994/tensorflow-yolov3"},{"title":"zzh8829/yolov3-tf2","url":"https://github.com/zzh8829/yolov3-tf2"},{"title":"bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP"},{"title":"ArtLabss/tennis-tracking","url":"https://github.com/ArtLabss/tennis-tracking"},{"title":"DeNA/PyTorch_YOLOv3","url":"https://github.com/DeNA/PyTorch_YOLOv3"},{"title":"theAIGuysCode/yolov3_deepsort","url":"https://github.com/theAIGuysCode/yolov3_deepsort"},{"title":"OlafenwaMoses/FireNET","url":"https://github.com/OlafenwaMoses/FireNET"},{"title":"GiantPandaCV/yolov3-point","url":"https://github.com/GiantPandaCV/yolov3-point"},{"title":"Mayurji/Image-Classification-PyTorch","url":"https://github.com/Mayurji/Image-Classification-PyTorch"},{"title":"MikelBros/Yolov3_DeepSort_Pytorch","url":"https://github.com/MikelBros/Yolov3_DeepSort_Pytorch"},{"title":"mikel-brostrom/Yolov3_DeepSort_Pytorch","url":"https://github.com/mikel-brostrom/Yolov3_DeepSort_Pytorch"},{"title":"westerndigitalcorporation/YOLOv3-in-PyTorch","url":"https://github.com/westerndigitalcorporation/YOLOv3-in-PyTorch"},{"title":"MaximeBataille/tennis_tracking","url":"https://github.com/MaximeBataille/tennis_tracking"},{"title":"KostadinovShalon/UAVDetectionTrackingBenchmark","url":"https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark"},{"title":"calmisential/YOLOv3_TensorFlow2","url":"https://github.com/calmisential/YOLOv3_TensorFlow2"},{"title":"ming71/UCAS-AOD-benchmark","url":"https://github.com/ming71/UCAS-AOD-benchmark"},{"title":"muyiguangda/pytorch-yolov3","url":"https://github.com/muyiguangda/pytorch-yolov3"},{"title":"LdDl/go-darknet","url":"https://github.com/LdDl/go-darknet"},{"title":"RuoyuChen10/objectdetection-saliency-maps","url":"https://github.com/RuoyuChen10/objectdetection-saliency-maps"},{"title":"tanjeffreyz/yolo-v1","url":"https://github.com/tanjeffreyz/yolo-v1"},{"title":"saimj7/Social-Distancing-Detection-in-Real-Time","url":"https://github.com/saimj7/Social-Distancing-Detection-in-Real-Time"},{"title":"Burf/tfdetection","url":"https://github.com/Burf/tfdetection"},{"title":"eavise/lightnet","url":"https://gitlab.com/eavise/lightnet"},{"title":"dianzl/sodformer","url":"https://github.com/dianzl/sodformer"},{"title":"RentadroneCL/model-definition","url":"https://github.com/RentadroneCL/model-definition"},{"title":"RentadroneCL/Photovoltaic_Fault_Detector","url":"https://github.com/RentadroneCL/Photovoltaic_Fault_Detector"},{"title":"Zzh-tju/ultralytics-YOLOv3-Cluster-NMS","url":"https://github.com/Zzh-tju/ultralytics-YOLOv3-Cluster-NMS"},{"title":"Lornatang/YOLOv3-PyTorch","url":"https://github.com/Lornatang/YOLOv3-PyTorch"},{"title":"Lornatang/PyTorch-yolov3","url":"https://github.com/Lornatang/PyTorch-yolov3"},{"title":"fredotran/traffic-sign-detector-yolov4","url":"https://github.com/fredotran/traffic-sign-detector-yolov4"},{"title":"fredotran/traffic-signs-detection","url":"https://github.com/fredotran/traffic-signs-detection"},{"title":"CycloneBoy/PPDetectionPytorch","url":"https://github.com/CycloneBoy/PPDetectionPytorch"},{"title":"LdDl/rust-road-traffic","url":"https://github.com/LdDl/rust-road-traffic"},{"title":"Sharpiless/paddlex-vehicle-detection-with-YOLOv3","url":"https://github.com/Sharpiless/paddlex-vehicle-detection-with-YOLOv3"},{"title":"Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-","url":"https://github.com/Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-"},{"title":"MINED30/Face_Mask_Detection_YOLO","url":"https://github.com/MINED30/Face_Mask_Detection_YOLO"},{"title":"HSRW-EMRP-WS1920-Drone/object_detection_and_landing","url":"https://github.com/HSRW-EMRP-WS1920-Drone/object_detection_and_landing"},{"title":"michhar/azureml-keras-yolov3-custom","url":"https://github.com/michhar/azureml-keras-yolov3-custom"},{"title":"nilesh0109/PedestrianTracking","url":"https://github.com/nilesh0109/PedestrianTracking"},{"title":"Pengchengzhi/Yolov3_Own-dataset","url":"https://github.com/Pengchengzhi/Yolov3_Own-dataset"},{"title":"ChelseaGH/sidewalk_prototype_AI_Hub","url":"https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub"},{"title":"adam123wu/edge-yolo","url":"https://github.com/adam123wu/edge-yolo"},{"title":"Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort","url":"https://github.com/Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort"},{"title":"Adam123wu/Edge-YOLO_algorithm","url":"https://github.com/Adam123wu/Edge-YOLO_algorithm"},{"title":"ravi02512/efficientdet-keras","url":"https://github.com/ravi02512/efficientdet-keras"},{"title":"lmeulen/PeopleCounter","url":"https://github.com/lmeulen/PeopleCounter"},{"title":"samson6460/tf2_YOLO","url":"https://github.com/samson6460/tf2_YOLO"},{"title":"Mersive-Technologies/yolov3","url":"https://github.com/Mersive-Technologies/yolov3"},{"title":"achen353/Taiwanese-Traffic-Object-Detection","url":"https://github.com/achen353/Taiwanese-Traffic-Object-Detection"},{"title":"eavise-kul/lightnet","url":"https://github.com/eavise-kul/lightnet"},{"title":"zzhuolun/IRL","url":"https://github.com/zzhuolun/IRL"},{"title":"easyadin/Object-Detection-YOLOv4","url":"https://github.com/easyadin/Object-Detection-YOLOv4"},{"title":"chincharles/u-emo","url":"https://github.com/chincharles/u-emo"},{"title":"youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition","url":"https://github.com/youssef-kishk/ROS-Based-Robot-Object-Detection-Recognition"},{"title":"xiaogangLi/tensorflow-Darknet53-YOLOv3","url":"https://github.com/xiaogangLi/tensorflow-Darknet53-YOLOv3"},{"title":"Vijayabhaskar96/Object-Detection-Algorithms","url":"https://github.com/Vijayabhaskar96/Object-Detection-Algorithms"},{"title":"Camebush/real-time-yolov4-object-detection","url":"https://github.com/Camebush/real-time-yolov4-object-detection"},{"title":"DavianYang/yolo.ai","url":"https://github.com/DavianYang/yolo.ai"},{"title":"FlorinAndrei/TensorAim","url":"https://github.com/FlorinAndrei/TensorAim"},{"title":"BonJunKu/ScooterHelmetDetector","url":"https://github.com/BonJunKu/ScooterHelmetDetector"},{"title":"AndreydeAguiarSalvi/yolo_compression","url":"https://github.com/AndreydeAguiarSalvi/yolo_compression"},{"title":"guxiaowei1/yolov3--detection-of-rmb-code-region","url":"https://github.com/guxiaowei1/yolov3--detection-of-rmb-code-region"},{"title":"yukaryote/darknet","url":"https://github.com/yukaryote/darknet"},{"title":"amazingcodeLYL/Traffic_signs_detection_darket","url":"https://github.com/amazingcodeLYL/Traffic_signs_detection_darket"},{"title":"lyffly/YOLOv3_with_my_Dataset","url":"https://github.com/lyffly/YOLOv3_with_my_Dataset"},{"title":"FlyingAnt2018/darknet-modify","url":"https://github.com/FlyingAnt2018/darknet-modify"},{"title":"luckymanwu/defect_detection","url":"https://github.com/luckymanwu/defect_detection"},{"title":"Sharpiless/paddlex-driver-state-recognition","url":"https://github.com/Sharpiless/paddlex-driver-state-recognition"},{"title":"yuedongli1/yolov3_mindspore","url":"https://github.com/yuedongli1/yolov3_mindspore"},{"title":"minar09/yolov3-pytorch","url":"https://github.com/minar09/yolov3-pytorch"},{"title":"yang-233/waste_detect","url":"https://github.com/yang-233/waste_detect"},{"title":"WangMian-Maker/Flask","url":"https://github.com/WangMian-Maker/Flask"},{"title":"mvxxx/mimuw-hats","url":"https://github.com/mvxxx/mimuw-hats"},{"title":"LEGO999/YOLOV3-TF2","url":"https://github.com/LEGO999/YOLOV3-TF2"},{"title":"redwankarimsony/darknet-yolov4-working","url":"https://github.com/redwankarimsony/darknet-yolov4-working"},{"title":"SpanoChristian/darknet","url":"https://github.com/SpanoChristian/darknet"},{"title":"RobotMobile/cv-deep-learning-paper-review","url":"https://github.com/RobotMobile/cv-deep-learning-paper-review"},{"title":"long95288/car-logo-detect","url":"https://github.com/long95288/car-logo-detect"},{"title":"DevBruce/YOLOv3-TF2","url":"https://github.com/DevBruce/YOLOv3-TF2"},{"title":"viskjha/Wrong-way-vehicle-detection","url":"https://github.com/viskjha/Wrong-way-vehicle-detection"},{"title":"wslerry/yolov5","url":"https://github.com/wslerry/yolov5"},{"title":"muddge/yolov3-person-only","url":"https://github.com/muddge/yolov3-person-only"},{"title":"fredotran/yolov3-opencvdnn","url":"https://github.com/fredotran/yolov3-opencvdnn"},{"title":"Tony363/Teamplay_Yolov3","url":"https://github.com/Tony363/Teamplay_Yolov3"},{"title":"usnistgov/object-detection-yolov3","url":"https://github.com/usnistgov/object-detection-yolov3"},{"title":"BlackAngel1111/Yolo3_Pytorch","url":"https://github.com/BlackAngel1111/Yolo3_Pytorch"},{"title":"iberganzo/darknet","url":"https://github.com/iberganzo/darknet"},{"title":"sujaygarlanka/basketball-shot-count","url":"https://github.com/sujaygarlanka/basketball-shot-count"},{"title":"xiuyu0000/tutorials","url":"https://github.com/xiuyu0000/tutorials/tree/main/yolov3"},{"title":"areberoto/darknet-thesis","url":"https://github.com/areberoto/darknet-thesis"},{"title":"parth-shastri/YOLOv2","url":"https://github.com/parth-shastri/YOLOv2"},{"title":"firja10/darknet-2","url":"https://github.com/firja10/darknet-2"},{"title":"euske/derpyolo","url":"https://github.com/euske/derpyolo"},{"title":"laclouis5/darknet2","url":"https://github.com/laclouis5/darknet2"},{"title":"shanky1947/YOLOv3-Darknet-Custom-Object-Detection","url":"https://github.com/shanky1947/YOLOv3-Darknet-Custom-Object-Detection"},{"title":"sidSingla/RegNetx-YOLOv3","url":"https://github.com/sidSingla/RegNetx-YOLOv3"},{"title":"gunooknam/Code_Study_Yolov3","url":"https://github.com/gunooknam/Code_Study_Yolov3"},{"title":"liulianjushi/yolo_v3_tf2.0","url":"https://github.com/liulianjushi/yolo_v3_tf2.0"},{"title":"Kev1nZheng/yolov_mask","url":"https://github.com/Kev1nZheng/yolov_mask"},{"title":"saransh317/YOLOv3-Easy-Implementation","url":"https://github.com/saransh317/YOLOv3-Easy-Implementation"},{"title":"guagen/yolov3-ultralytics-source","url":"https://github.com/guagen/yolov3-ultralytics-source"},{"title":"thecryboy/yolov3_ultralytics_deconv","url":"https://github.com/thecryboy/yolov3_ultralytics_deconv"},{"title":"Cjiangbpcs/cjiang.github.io","url":"https://github.com/Cjiangbpcs/cjiang.github.io"},{"title":"s0ntr4n97/datasets","url":"https://github.com/s0ntr4n97/datasets"},{"title":"k5iogura/darknetAB","url":"https://github.com/k5iogura/darknetAB"},{"title":"Code-Fight/darknet_study","url":"https://github.com/Code-Fight/darknet_study"},{"title":"sujaygarlanka/basketball_shot_count","url":"https://github.com/sujaygarlanka/basketball_shot_count"},{"title":"Chris-On-PC/darknet","url":"https://github.com/Chris-On-PC/darknet"},{"title":"Jiachenyin1/Yolov3-U-attention-permuting","url":"https://github.com/Jiachenyin1/Yolov3-U-attention-permuting"},{"title":"Iqbal1282/yolov3_incremental_distillation_loss","url":"https://github.com/Iqbal1282/yolov3_incremental_distillation_loss"},{"title":"lichuanqi/YOLOV4_Darknet","url":"https://github.com/lichuanqi/YOLOV4_Darknet"},{"title":"dayfixer/darknet-comment","url":"https://github.com/dayfixer/darknet-comment"},{"title":"TusharMhaske28/Thermal-Object","url":"https://github.com/TusharMhaske28/Thermal-Object"},{"title":"mazabou/darknet","url":"https://github.com/mazabou/darknet"},{"title":"Jorge-Mendes/darknet-google-colab","url":"https://github.com/Jorge-Mendes/darknet-google-colab"},{"title":"meerkatai/Yolo-v4-Object-Detection-Classification","url":"https://github.com/meerkatai/Yolo-v4-Object-Detection-Classification"},{"title":"sadicLiu/darknet-yolov4","url":"https://github.com/sadicLiu/darknet-yolov4"},{"title":"midnight4ever/yolov3","url":"https://github.com/midnight4ever/yolov3"},{"title":"kusti8/yolov3","url":"https://github.com/kusti8/yolov3"},{"title":"molyswu/knowledge-graph-embeding","url":"https://github.com/molyswu/knowledge-graph-embeding"},{"title":"Jintao-Huang/Darknet53_PyTorch","url":"https://github.com/Jintao-Huang/Darknet53_PyTorch"},{"title":"Spain2394/darknet","url":"https://github.com/Spain2394/darknet"},{"title":"darkAlert/yolov3-rt","url":"https://github.com/darkAlert/yolov3-rt"},{"title":"tops666/volo-v4-","url":"https://github.com/tops666/volo-v4-"},{"title":"lrf008/yolov4","url":"https://github.com/lrf008/yolov4"},{"title":"phnk/yolov3","url":"https://github.com/phnk/yolov3"},{"title":"deeplearnproject/darknet","url":"https://github.com/deeplearnproject/darknet"},{"title":"XuanjieXiao/vehicle-detection-by-using-camera","url":"https://github.com/XuanjieXiao/vehicle-detection-by-using-camera"},{"title":"benjamintli/darknet-gun-detector","url":"https://github.com/benjamintli/darknet-gun-detector"},{"title":"Zhuoranbupt/ECE285fa19","url":"https://github.com/Zhuoranbupt/ECE285fa19"},{"title":"anhnktp/yolov3","url":"https://github.com/anhnktp/yolov3"},{"title":"khanh-moriaty/DarknetAlexey","url":"https://github.com/khanh-moriaty/DarknetAlexey"},{"title":"PericlesPet/darknet-demo","url":"https://github.com/PericlesPet/darknet-demo"},{"title":"ycchiusieve/yolo3","url":"https://github.com/ycchiusieve/yolo3"},{"title":"ChengLeiWei/garbage-detect-using-YOLOv3-pytorch","url":"https://github.com/ChengLeiWei/garbage-detect-using-YOLOv3-pytorch"},{"title":"6-dl/darknet_wpb","url":"https://github.com/6-dl/darknet_wpb"},{"title":"euske/miniyolo","url":"https://github.com/euske/miniyolo"},{"title":"maiminh1996/YOLOv3-tensorflow","url":"https://github.com/maiminh1996/YOLOv3-tensorflow"},{"title":"mutichung/yolov3_pt","url":"https://github.com/mutichung/yolov3_pt"},{"title":"albertsokol/yolov3-tf2","url":"https://github.com/albertsokol/yolov3-tf2"},{"title":"Qengineering/YoloV3-ncnn-Jetson-Nano","url":"https://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano"},{"title":"jayin301/2021AutonomousACCar","url":"https://github.com/jayin301/2021AutonomousACCar"},{"title":"nghgphi/fire_detection","url":"https://github.com/nghgphi/fire_detection"},{"title":"varunasthana92/YOLO_v3_implementation_Tensorflow2","url":"https://github.com/varunasthana92/YOLO_v3_implementation_Tensorflow2"},{"title":"2023-MindSpore-4/Code9","url":"https://github.com/2023-MindSpore-4/Code9/tree/main/YOLOv3"},{"title":"GiulioFischietti/Tirocinio","url":"https://github.com/GiulioFischietti/Tirocinio"},{"title":"okboseong/darknet","url":"https://github.com/okboseong/darknet"},{"title":"Demonhesusheng/darknet_v2","url":"https://github.com/Demonhesusheng/darknet_v2"},{"title":"rt55u-rgb/yolov3","url":"https://github.com/rt55u-rgb/yolov3"},{"title":"dipuchak95/dip_net","url":"https://github.com/dipuchak95/dip_net"},{"title":"gakkifan2020/YoloV3_From_calmisential_workspace","url":"https://github.com/gakkifan2020/YoloV3_From_calmisential_workspace"},{"title":"sadicLiu/yolov3","url":"https://github.com/sadicLiu/yolov3"},{"title":"neverleave0916/darknet","url":"https://github.com/neverleave0916/darknet"},{"title":"fi94/yolov3","url":"https://github.com/fi94/yolov3"},{"title":"SAIGANESH-Collab/DARKNET","url":"https://github.com/SAIGANESH-Collab/DARKNET"},{"title":"Pepitaw/darknet","url":"https://github.com/Pepitaw/darknet"},{"title":"TusharMhaske28/Object-Detection","url":"https://github.com/TusharMhaske28/Object-Detection"},{"title":"minhcong0891/wheat-detection","url":"https://github.com/minhcong0891/wheat-detection"},{"title":"kaustavsenkvs/Deep-Learning-Mini-Project","url":"https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project"},{"title":"PaiHsuehChung/DockerYOLOV3","url":"https://github.com/PaiHsuehChung/DockerYOLOV3"},{"title":"YCHung1998/Object-Detection","url":"https://github.com/YCHung1998/Object-Detection"},{"title":"JWMON/yolo","url":"https://github.com/JWMON/yolo"},{"title":"imshamsher/darknet","url":"https://github.com/imshamsher/darknet"},{"title":"sryab2001/aquasaiclone","url":"https://github.com/sryab2001/aquasaiclone"},{"title":"rishikc137/social-distancing-detector","url":"https://github.com/rishikc137/social-distancing-detector"},{"title":"Keshavkant/YOLO_Toll","url":"https://github.com/Keshavkant/YOLO_Toll"},{"title":"cuonga1cvp/yolov3_cuong","url":"https://github.com/cuonga1cvp/yolov3_cuong"},{"title":"thanhtran98/yolov3_jetbot","url":"https://github.com/thanhtran98/yolov3_jetbot"},{"title":"nmcasasr/darknet_oldVersion","url":"https://github.com/nmcasasr/darknet_oldVersion"},{"title":"nmcasasr/darknet2","url":"https://github.com/nmcasasr/darknet2"},{"title":"Shellllllly/plateDetection","url":"https://github.com/Shellllllly/plateDetection"},{"title":"Raychou0830/Carplate","url":"https://github.com/Raychou0830/Carplate"},{"title":"zhanghuiyao/yolov3_mindspore","url":"https://github.com/zhanghuiyao/yolov3_mindspore"},{"title":"xuantruongdang/module-yolo","url":"https://github.com/xuantruongdang/module-yolo"},{"title":"nurulxakmar/darknet","url":"https://github.com/nurulxakmar/darknet"},{"title":"zjjszj/yolov3","url":"https://github.com/zjjszj/yolov3"},{"title":"Seioch/darknet_v4_deploy","url":"https://github.com/Seioch/darknet_v4_deploy"},{"title":"lanmei1211/face","url":"https://github.com/lanmei1211/face"},{"title":"clasikman/darknet","url":"https://github.com/clasikman/darknet"},{"title":"johnsebin97/darknet","url":"https://github.com/johnsebin97/darknet"},{"title":"xinshasha/YoloV3","url":"https://github.com/xinshasha/YoloV3"},{"title":"liuji93/yolo_v3","url":"https://github.com/liuji93/yolo_v3"},{"title":"jellywangjie/yolov3","url":"https://github.com/jellywangjie/yolov3"},{"title":"MindSpore-paper-code-2/code3","url":"https://github.com/MindSpore-paper-code-2/code3/tree/main/yolov3_tiny"},{"title":"AbhinavJhanwar/face_detection","url":"https://github.com/AbhinavJhanwar/face_detection"},{"title":"tanmayj000/darknet","url":"https://github.com/tanmayj000/darknet"},{"title":"GodofCCode/yolo3","url":"https://github.com/GodofCCode/yolo3"},{"title":"Hrishkesh/YoloInvoiceExtraction","url":"https://github.com/Hrishkesh/YoloInvoiceExtraction"},{"title":"witwickey/alexeyDarknet","url":"https://github.com/witwickey/alexeyDarknet"},{"title":"iamsingh/darknet","url":"https://github.com/iamsingh/darknet"},{"title":"PetersonSilvadeJesus/yolov3-data-images","url":"https://github.com/PetersonSilvadeJesus/yolov3-data-images"},{"title":"liuxiangchao369/VRS-training","url":"https://github.com/liuxiangchao369/VRS-training"},{"title":"dorbodwolf/darknet","url":"https://github.com/dorbodwolf/darknet"},{"title":"Congpeiliang/yolo","url":"https://github.com/Congpeiliang/yolo"},{"title":"dangWV/yolov3_darknet53","url":"https://github.com/dangWV/yolov3_darknet53"},{"title":"adairliulei/yolov3","url":"https://github.com/adairliulei/yolov3"},{"title":"Rahmanzia3/yolo","url":"https://github.com/Rahmanzia3/yolo"},{"title":"zephyrcho/darknetV4","url":"https://github.com/zephyrcho/darknetV4"},{"title":"Rahmanzia3/darknet_original","url":"https://github.com/Rahmanzia3/darknet_original"},{"title":"Rahmanzia3/darknet","url":"https://github.com/Rahmanzia3/darknet"},{"title":"kentttttt/darknet","url":"https://github.com/kentttttt/darknet"},{"title":"JCamERG/YOLOPersonal","url":"https://github.com/JCamERG/YOLOPersonal"},{"title":"lvweiwolf/efficientdet","url":"https://github.com/lvweiwolf/efficientdet"},{"title":"2023-MindSpore-4/Code14","url":"https://github.com/2023-MindSpore-4/Code14/tree/main/res2net_yolov3"},{"title":"sryab2001/Yolo-CG","url":"https://github.com/sryab2001/Yolo-CG"},{"title":"gomboskriszta/yolo","url":"https://github.com/gomboskriszta/yolo"},{"title":"hellotrik/torch_yolov3","url":"https://github.com/hellotrik/torch_yolov3"},{"title":"xyuan-wyze/darknet","url":"https://github.com/xyuan-wyze/darknet"},{"title":"Abhijeet2396/darknet","url":"https://github.com/Abhijeet2396/darknet"},{"title":"hanghang177/pedestrian_awareness","url":"https://github.com/hanghang177/pedestrian_awareness"},{"title":"harsh2011/Yolov3-Detector","url":"https://github.com/harsh2011/Yolov3-Detector"},{"title":"CZQ0707/mindspore","url":"https://github.com/CZQ0707/mindspore"},{"title":"madamak/ultrapy-yolov3-chess","url":"https://github.com/madamak/ultrapy-yolov3-chess"},{"title":"AmeerHamza111/yolo-darknet","url":"https://github.com/AmeerHamza111/yolo-darknet"},{"title":"yet124/yolov3-pytorch","url":"https://github.com/yet124/yolov3-pytorch"},{"title":"wsmlby/darknetnano","url":"https://github.com/wsmlby/darknetnano"},{"title":"pritish-mahajan/Apricitas","url":"https://github.com/pritish-mahajan/Apricitas"},{"title":"AdolfoMatias/rede_neural_laranja_maca_adolfo","url":"https://github.com/AdolfoMatias/rede_neural_laranja_maca_adolfo"},{"title":"NovasMax/yolov3","url":"https://github.com/NovasMax/yolov3"},{"title":"TamirShasha/Mars_yolo","url":"https://github.com/TamirShasha/Mars_yolo"},{"title":"zzfpython/yolov3-change","url":"https://github.com/zzfpython/yolov3-change"},{"title":"tdurand/darknet-withtiling","url":"https://github.com/tdurand/darknet-withtiling"},{"title":"2023-MindSpore-1/ms-code-59","url":"https://github.com/2023-MindSpore-1/ms-code-59"},{"title":"bowensong0312/darknet","url":"https://github.com/bowensong0312/darknet"},{"title":"2023-MindSpore-1/ms-code-60","url":"https://github.com/2023-MindSpore-1/ms-code-60"},{"title":"neung678/anti_bird","url":"https://github.com/neung678/anti_bird"},{"title":"hirohiro23/Darknet","url":"https://github.com/hirohiro23/Darknet"},{"title":"peter8301120/darknet_t","url":"https://github.com/peter8301120/darknet_t"},{"title":"tommyjtl/darknet-colab","url":"https://github.com/tommyjtl/darknet-colab"},{"title":"Mind23-2/MindCode-127","url":"https://github.com/Mind23-2/MindCode-127"},{"title":"Lmonster/darknet","url":"https://github.com/Lmonster/darknet"},{"title":"eric-erki/darknetAB","url":"https://github.com/eric-erki/darknetAB"},{"title":"tmbaoloc/darknet","url":"https://github.com/tmbaoloc/darknet"},{"title":"AmitNativ1984/yolov3","url":"https://github.com/AmitNativ1984/yolov3"},{"title":"thodorostsao/4-leg-robot-neural-network","url":"https://github.com/thodorostsao/4-leg-robot-neural-network"},{"title":"kiruthick101/darknet","url":"https://github.com/kiruthick101/darknet"},{"title":"citbrains/darknet_yolov4","url":"https://github.com/citbrains/darknet_yolov4"},{"title":"Chamchis/AICCTV","url":"https://github.com/Chamchis/AICCTV"},{"title":"Atom-min/MLBigWork","url":"https://github.com/Atom-min/MLBigWork"},{"title":"pminhtam/keras_yolo3","url":"https://github.com/pminhtam/keras_yolo3"},{"title":"ravenagcaoili/yolov3","url":"https://github.com/ravenagcaoili/yolov3"},{"title":"wrappr/wrappr-core","url":"https://github.com/wrappr/wrappr-core"},{"title":"MindSpore-paper-code-3/code5","url":"https://github.com/MindSpore-paper-code-3/code5/tree/main/res2net_yolov3"},{"title":"tade0726/yolov3_ui_error","url":"https://github.com/tade0726/yolov3_ui_error"},{"title":"jianmingwuhasco/yolov3","url":"https://github.com/jianmingwuhasco/yolov3"},{"title":"yrouphail/yolov3","url":"https://github.com/yrouphail/yolov3"},{"title":"modelhub-ai/yolo-v3","url":"https://github.com/modelhub-ai/yolo-v3"},{"title":"thinhhoang95/helipad-yolo","url":"https://github.com/thinhhoang95/helipad-yolo"},{"title":"TravisTorch/Pytorch","url":"https://github.com/TravisTorch/Pytorch"},{"title":"xxnote/stunning-doodle","url":"https://github.com/xxnote/stunning-doodle"},{"title":"MSJawad/yolov3","url":"https://github.com/MSJawad/yolov3"},{"title":"yushuz/me599_yolo","url":"https://github.com/yushuz/me599_yolo"},{"title":"alexismailov2/darknet","url":"https://github.com/alexismailov2/darknet"},{"title":"CRIGIM/darknet","url":"https://github.com/CRIGIM/darknet"},{"title":"jih189/yolo3","url":"https://github.com/jih189/yolo3"},{"title":"Yamahitsuji/darknet","url":"https://github.com/Yamahitsuji/darknet"},{"title":"NBvinay/vinb-ghost-car","url":"https://github.com/NBvinay/vinb-ghost-car"},{"title":"holytrick/AlexeyAB_darknet","url":"https://github.com/holytrick/AlexeyAB_darknet"},{"title":"Sujith2k/darknet","url":"https://github.com/Sujith2k/darknet"},{"title":"hwillard98/htmlify-yolo-training","url":"https://github.com/hwillard98/htmlify-yolo-training"},{"title":"OpenCv30/Yolov3","url":"https://github.com/OpenCv30/Yolov3"},{"title":"Smallflyfly/yolov3_ultralytics","url":"https://github.com/Smallflyfly/yolov3_ultralytics"},{"title":"swaubhik/social-distance-detector","url":"https://github.com/swaubhik/social-distance-detector"},{"title":"antonoeschmidt/darknet","url":"https://github.com/antonoeschmidt/darknet"},{"title":"JEONGHA-SHIN/YOGO_Server_v2","url":"https://github.com/JEONGHA-SHIN/YOGO_Server_v2"},{"title":"Smiler-Jin/Yolov4","url":"https://github.com/Smiler-Jin/Yolov4"},{"title":"yaoming0712/dalinmask","url":"https://github.com/yaoming0712/dalinmask"},{"title":"TusharMhaske28/summer-project","url":"https://github.com/TusharMhaske28/summer-project"},{"title":"FarzamIHPC/YoloV3_mask","url":"https://github.com/FarzamIHPC/YoloV3_mask"},{"title":"mdt48/yolov3-HotelsObjectDetection","url":"https://github.com/mdt48/yolov3-HotelsObjectDetection"},{"title":"munachisonwadike/YOLOV3","url":"https://github.com/munachisonwadike/YOLOV3"},{"title":"SAIGANESH-Collab/YOLO-AQUA","url":"https://github.com/SAIGANESH-Collab/YOLO-AQUA"},{"title":"yrouphail/yolo-independent","url":"https://github.com/yrouphail/yolo-independent"},{"title":"mayanks888/yolo_custom","url":"https://github.com/mayanks888/yolo_custom"},{"title":"wdlctc/darknet","url":"https://github.com/wdlctc/darknet"},{"title":"xiaoxd16/Palm","url":"https://github.com/xiaoxd16/Palm"},{"title":"Ritik-Sharma38/YoloV3_training_Hands","url":"https://github.com/Ritik-Sharma38/YoloV3_training_Hands"},{"title":"aaron-wang-de/ab","url":"https://github.com/aaron-wang-de/ab"},{"title":"lobznet/yolov3","url":"https://github.com/lobznet/yolov3"},{"title":"agelencs/darknet_original","url":"https://github.com/agelencs/darknet_original"},{"title":"takooctopus/Yolov3-Tako","url":"https://github.com/takooctopus/Yolov3-Tako"},{"title":"tanimutomo/ganonymizer","url":"https://github.com/tanimutomo/ganonymizer"},{"title":"zhangming8/libtorch-yolov3","url":"https://github.com/zhangming8/libtorch-yolov3"},{"title":"otamajakusi/darknet-yolov4","url":"https://github.com/otamajakusi/darknet-yolov4"},{"title":"thecryboy/DECONV","url":"https://github.com/thecryboy/DECONV"},{"title":"benjamintli/training-results-azure","url":"https://github.com/benjamintli/training-results-azure"},{"title":"zeegeeko/YOLOv3","url":"https://github.com/zeegeeko/YOLOv3"},{"title":"jessychen1016/yolov3Onpytorch","url":"https://github.com/jessychen1016/yolov3Onpytorch"},{"title":"tms2003/yolov3","url":"https://github.com/tms2003/yolov3"},{"title":"vobecant/yolov3_WannaSeeU","url":"https://github.com/vobecant/yolov3_WannaSeeU"},{"title":"pixiedust18/darknet_mask_classification","url":"https://github.com/pixiedust18/darknet_mask_classification"},{"title":"DarkGeekMS/Pytorch-YOLOv3-Implementation","url":"https://github.com/DarkGeekMS/Pytorch-YOLOv3-Implementation"},{"title":"fofore/yolov3-pyroch","url":"https://github.com/fofore/yolov3-pyroch"},{"title":"sergiosonline/transfercv","url":"https://github.com/sergiosonline/transfercv"},{"title":"GunjanChourasia/custom_detector_yolov3","url":"https://github.com/GunjanChourasia/custom_detector_yolov3"},{"title":"GianRomani/YOLOv3-Neural-Networks-project-","url":"https://github.com/GianRomani/YOLOv3-Neural-Networks-project-"},{"title":"nlee-208/face_mask_detection","url":"https://github.com/nlee-208/face_mask_detection"},{"title":"poojabhore12/SocialDistancing-Detector","url":"https://github.com/poojabhore12/SocialDistancing-Detector"},{"title":"loadbxh/yolov3","url":"https://github.com/loadbxh/yolov3"},{"title":"MRZWD/yolov3_caltech","url":"https://github.com/MRZWD/yolov3_caltech"},{"title":"Hiwyl/yolov3-attentation","url":"https://github.com/Hiwyl/yolov3-attentation"},{"title":"zanmange/darknet","url":"https://github.com/zanmange/darknet"},{"title":"PolinaYA/yolov3","url":"https://github.com/PolinaYA/yolov3"},{"title":"sepuhopar/ReportDD-darknet","url":"https://github.com/sepuhopar/ReportDD-darknet"},{"title":"mahavir-GPI/yolov3","url":"https://github.com/mahavir-GPI/yolov3"},{"title":"tkhhhh/yolov3-master","url":"https://github.com/tkhhhh/yolov3-master"},{"title":"Aarav-Patel/darknet","url":"https://github.com/Aarav-Patel/darknet"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151234,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"YOLOv5n","metrics":{"FPS (V100, b=1)":"6.3","box AP":"28.0"},"paper_url":"https://ieeexplore.ieee.org/document/10478293","paper_title":"YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries","paper_date":"2024-03-22","code_links":[{"title":"cviviers/YOLOv5-6D-Pose","url":"https://github.com/cviviers/YOLOv5-6D-Pose"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":151235,"task":"Real-Time Object Detection","parent_task":"Object Detection","dataset":"COCO (Common Objects in Context)","model_name":"DEIM-D-FINE-X+","metrics":{"FPS (V100, b=1)":"78 (T4)"},"paper_url":"https://arxiv.org/abs/2412.04234v3","paper_title":"DEIM: DETR with Improved Matching for Fast Convergence","paper_date":"2024-12-05","code_links":[{"title":"shihuahuang95/deim","url":"https://github.com/shihuahuang95/deim"}],"metrics_order":"[\"box AP\", \"FPS (V100, b=1)\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]}]}