jsbroks/coco-annotator
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
This web-based tool helps you efficiently label images to prepare them for computer vision models. You upload images and use drawing tools to mark objects, segments, and keypoints within them. The output is a structured dataset in COCO format, ready for training machine learning models. Researchers, data scientists, and machine learning engineers working on object detection or image segmentation tasks would use this.
2,271 stars. No commits in the last 6 months.
Use this if you need to create high-quality, precise image annotation datasets for training computer vision models, especially for object detection, localization, and segmentation.
Not ideal if you are looking for a desktop-only application or if your primary need is simple image categorization rather than detailed pixel-level or object-instance annotation.
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2,271
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Vue
License
MIT
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Last pushed
Jan 30, 2025
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