Detectron2 Object Detection & Manipulating Images using Cartoonization
In today's world, there is a rapid increase in the autonomous vehicle. There are various levels of autonomous vehicles depending upon the degree of autonomy-for the lower degree of autonomy driver has more power and functionality for managing, on coming to the fully automated vehicle like Tesla are expected to have full control over the functions. These advances cooperate to plan the vehicle's position and its nearness to everything around it. Because of this, there is popularity for these vehicles, since they give a great deal of advantages to individuals utilizing them. We use the Facebook AI Research software system that implements object detection algorithms, Caffe2 deep learning framework for advanced object detection by offering speedy training. We have also manipulated images to derive insights addressing the issues companies face when making the step from research to production. We have implemented detectron2 object detection for faster detection of objects. There is labeling of the object & we used manipulation of images using cartoonization.
Code (2)
Tasks
Autonomous VehiclesData VisualizationImage AugmentationImage ClassificationImage ManipulationImage SegmentationInstance SegmentationObjectobject-detectionObject DetectionObject RecognitionPanoptic SegmentationReal-Time Object DetectionSemantic SegmentationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Underwater Object Detection Enhancement via Channel Stabilization
The complex marine environment exacerbates the challenges of object detection manifold. Marine trash endangers the aquatic ecosystem, presenting a persistent challenge. Accurate detection of marine deposits is crucial fo…
Image EnhancementObjectobject-detectionObject DetectionDefect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework
New production techniques have emerged that have made it possible to produce metal parts with more complex shapes, making the quality control process more difficult. This implies that the visual and superficial analysis …
Defect Detectionobject-detectionObject DetectionSegmentationCartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models
Image cartoonization has attracted significant interest in the field of image generation. However, most of the existing image cartoonization techniques require re-training models using images of cartoon style. In this pa…
DenoisingImage GenerationDefect Detection in Synthetic Fibre Ropes using Detectron2 Framework
Fibre ropes with the latest technology have emerged as an appealing alternative to steel ropes for offshore industries due to their lightweight and high tensile strength. At the same time, frequent inspection of these ro…
Defect DetectionInstance SegmentationSemantic SegmentationObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data
Despite powering sensitive systems like autonomous vehicles, object detection remains fairly brittle in part due to annotation errors that plague most real-world training datasets. We propose ObjectLab, a straightforward…
Autonomous VehiclesObjectobject-detectionObject Detection