jsbroks/coco-annotator
A web-based image annotation tool that creates COCO-format datasets for training object detection and segmentation models.
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Coco-annotator is a web-based platform for annotating images with polygons, bounding boxes, and keypoints to produce training data for machine learning models. It exports annotations in the COCO dataset format, which is widely used for training object detection, localization, and instance segmentation models. The tool supports instance tracking, segment labeling, and disconnected part annotation for complex labeling scenarios.
Frequently asked
- What is jsbroks/coco-annotator?
- A web-based image annotation tool that creates COCO-format datasets for training object detection and segmentation models.
- Is coco-annotator open source?
- Yes — jsbroks/coco-annotator is open source, released under the MIT license.
- What language is coco-annotator written in?
- jsbroks/coco-annotator is primarily written in Vue.
- How popular is coco-annotator?
- jsbroks/coco-annotator has 2.3k stars on GitHub.
- Where can I find coco-annotator?
- jsbroks/coco-annotator is on GitHub at https://github.com/jsbroks/coco-annotator.