jsbroks/coco-annotator

Health v2 · maintenance only

Adoption not part of the score

2279 stars · 476 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

COCO Annotator is a web-based image annotation tool for labeling images with segments, bounding boxes, keypoints, and object tracking to create training datasets. It stores and exports annotations in the COCO format and is deployed via Docker.

Use cases

• annotate images for object detection training data
• label image segments for segmentation models
• create COCO-format datasets
• label keypoints on images
• track object instances across images
• build image localization datasets

When to choose

• you need a self-hosted web UI for image annotation
• your training pipeline consumes COCO-format annotations
• you need segmentation, keypoints, or multi-part object labeling

When to avoid

• you need text, audio, or video annotation
• you want a fully managed SaaS labeling service
• you need active development or frequent updates

Facets

application · maturity maintenance

image-processing computer-vision machine-learning data-science computer-vision machine-learning deep-learning image-processing self-hosted python image-annotation coco-format image-segmentation object-detection dataset-labeling vue web-server docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jsbroks/coco-annotator")