# jsbroks/coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

Repository: https://github.com/jsbroks/coco-annotator
Canonical: https://ross.abutalabs.com/products/coco-annotator
Language: Vue
License: MIT
License Family: permissive
Topics: machine-learning, coco, datasets, annotate-images, computer-vision, deep-learning, image-labeling, coco-annotator, image-annotation, image-segmentation, coco-format, detection, label
Last push: 2025-01-30T06:28:46+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 4, release rhythm 8, longevity 100
- inputs: {"age_days": 2921, "days_push": 580, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2279, forks 476 (observed 2026-08-28T04:06:33.713595+00:00)

## What it is
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
- artifact type: application
- maturity: maintenance
- function: image-processing, computer-vision, machine-learning, data-science
- domain: computer-vision, machine-learning, deep-learning, image-processing
- platform: self-hosted, python
- tags: image-annotation, coco-format, image-segmentation, object-detection, dataset-labeling, vue, web-server, docker

## Member repositories
- jsbroks/coco-annotator (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:33.713595+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:41:23.402824+00:00, confidence not recorded.
  - readme: https://github.com/jsbroks/coco-annotator (fetched 2026-08-28T04:06:33.713595+00:00, sha 90046368b14d)
- Data as of 2026-08-30T08:39:29.467469+00:00.