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A web-based image annotation tool used to create training data for machine learning. It provides many distinct features including the ability to label an image segment (or part of a segment), track object instances, labeling objects with disconnected visible parts and efficiently storing the annotation and instances information in the well-know COCO format. The annotation process is delivered through an initiative and customizable interface similar to PhotoShop.
COCO Annotator provides many 2D image annotation features that other annotations tool fall short:
- Directly export to COCO format
- Segmentation of objects
- Useful API endpoints to analyze data
- Import datasets already annotated in COCO format
- Allow custom metadata for each instance or object