CVAT
An open-source computer vision annotation tool developed by Intel, supporting image and video annotation, team collaboration, and multiple export formats. It offers comprehensive functionality but requires Docker for deployment, making it best suited for technically experienced teams.
Timeline (last 90 days)
CVAT is an enterprise-grade open-source annotation tool for video and images that supports team collaboration and automatic annotation.
Full-featured annotation platforms (such as Label Studio and CVAT) usually come with team collaboration, model pre-annotation, and data version management, but at small scale or in the prototype stage they can become a burden.
LabelImg and LabelMe are suited to small projects that need quick onboarding, while CVAT and Label Studio are better suited to teams that need multi-person collaboration and process management.
CVAT's review mode allows one person to annotate and another to review.
CVAT supports polygons, bounding boxes and keypoints, and has built-in interpolation tracking and multi-person collaborative review workflows.
CVAT has built-in model-assisted annotation features, such as OpenVINO-based auto-annotation.
Label Studio and CVAT are two mainstream open-source annotation tools.
Annotating 200-500 hand-drawn wireframes with LabelImg or CVAT, combined with data augmentation (rotation, scaling, stroke perturbation), is enough to obtain a demo-level YOLO model that can be shown.
LabelImg is a classic rectangular box annotation tool that outputs Pascal VOC and YOLO formats; CVAT is maintained by the OpenCV team and supports polygon, keypoint, and attribute annotation as well as multi-person collaboration and task assignment.
Open-source annotation tools CVAT and Label Studio both have built-in video tracking, interpolation, and keyboard shortcut systems.
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All Facts (11)
CVAT is an enterprise-grade open-source annotation tool for video and images that supports team collaboration and automatic annotation.
50%UnverifiedFull-featured annotation platforms (such as Label Studio and CVAT) usually come with team collaboration, model pre-annotation, and data version management, but at small scale or in the prototype stage they can become a burden.
50%UnverifiedLabelImg and LabelMe are suited to small projects that need quick onboarding, while CVAT and Label Studio are better suited to teams that need multi-person collaboration and process management.
50%UnverifiedCVAT's review mode allows one person to annotate and another to review.
50%UnverifiedCVAT supports polygons, bounding boxes and keypoints, and has built-in interpolation tracking and multi-person collaborative review workflows.
50%UnverifiedCVAT has built-in model-assisted annotation features, such as OpenVINO-based auto-annotation.
50%UnverifiedLabel Studio and CVAT are two mainstream open-source annotation tools.
50%UnverifiedAnnotating 200-500 hand-drawn wireframes with LabelImg or CVAT, combined with data augmentation (rotation, scaling, stroke perturbation), is enough to obtain a demo-level YOLO model that can be shown.
50%UnverifiedLabelImg is a classic rectangular box annotation tool that outputs Pascal VOC and YOLO formats; CVAT is maintained by the OpenCV team and supports polygon, keypoint, and attribute annotation as well as multi-person collaboration and task assignment.
50%UnverifiedOpen-source annotation tools CVAT and Label Studio both have built-in video tracking, interpolation, and keyboard shortcut systems.
50%UnverifiedCVAT (Computer Vision Annotation Tool) was open-sourced by Intel in 2019, supports video annotation, team collaboration, and multiple export formats, but its deployment depends on Docker.
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