COCO (Common Objects in Context)
Common Objects in Context
· 논문 11,922편
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to encourage research on a wide variety of object categories and is commonly used for benchmarking computer vision models. It is an essential dataset for researchers and developers working on object detection, segmentation, and pose estimation tasks.
ImagesVideos EnglishChinese벤치마크
Object Detection on COCO test-dev
결과 1125개
Object Detection on COCO minival
결과 1100개
Pose Estimation on COCO test-dev
결과 141개
Object Detection on COCO 2017
결과 120개
Object Detection on MSCOCO
결과 40개
Visual Question Answering (VQA) on COCO Visual Question Answering (VQA) real images 1.0 open ended
결과 14개
Visual Question Answering (VQA) on COCO Visual Question Answering (VQA) abstract 1.0 multiple choice
결과 4개