# CSAILVision/LabelMeAnnotationTool

Source code for the LabelMe annotation tool.

Repository: https://github.com/CSAILVision/LabelMeAnnotationTool
Canonical: https://ross.abutalabs.com/products/labelmeannotationtool
Language: JavaScript
License: MIT
License Family: permissive
Topics: annotation, computer-vision
Last push: 2023-03-29T09:14:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5181, "days_push": 1253, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1468, forks 444 (observed 2026-08-28T04:04:48.853645+00:00)

## What it is
The source code for LabelMe, a web-based image annotation tool written in JavaScript that runs on your own Apache server. It lets users draw polygon and scribble annotations on images in a browser and collects the results as XML annotations and segmentation masks on the server.

## Use cases
- label images with polygons for object detection training
- create segmentation masks for computer vision datasets
- self-host a collaborative image annotation tool for a lab
- annotate photos online without installing desktop software
- collect crowdsourced image labels on a web server

## When to choose
- you need a self-hosted, browser-based image labeling tool
- you want multiple people to annotate images collaboratively over the web
- you need polygon or scribble-based segmentation annotations stored as XML

## When to avoid
- you want a modern maintained annotation UI with active development
- you cannot run an Apache server with Perl/CGI and SSI enabled
- you need video, text, or audio annotation rather than images

## Facets
- artifact type: application
- maturity: maintenance
- function: image-processing, computer-vision, gui
- domain: computer-vision, image-processing, machine-learning, data-science
- platform: self-hosted, windows
- tags: image-annotation, labeling, segmentation, polygons, javascript, perl-cgi, apache, dataset-creation, web-server, linux, docker

## Member repositories
- CSAILVision/LabelMeAnnotationTool (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:48.853645+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 2026-08-30T04:34:55.310091+00:00, confidence not recorded.
  - readme: https://github.com/CSAILVision/LabelMeAnnotationTool (fetched 2026-08-28T04:04:48.853645+00:00, sha 8090d7b719af)
- Data as of 2026-08-30T08:39:29.467469+00:00.