# wkentaro/labelme

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

Repository: https://github.com/wkentaro/labelme
Canonical: https://ross.abutalabs.com/products/labelme
Homepage: https://labelme.io
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: image-annotation, python, computer-vision, annotations, deep-learning, semantic-segmentation, instance-segmentation, video-annotation, classification
Last push: 2026-08-25T09:32:26+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 3768, "days_push": 8, "days_rel": 12, "gap_med": 9, "n_releases_24m": 32}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 16130, forks 3702 (observed 2026-08-28T04:11:14.815445+00:00)

## What it is
Labelme is a graphical image annotation tool written in Python with a Qt interface, supporting polygon, rectangle, oriented rectangle, circle, line, and point shapes for creating labeled datasets. It also offers AI-assisted annotation with SAM2/SAM3 and YOLO-World models running fully offline, plus export to formats like VOC and YOLO.

## Use cases
- annotate images with polygons for semantic segmentation
- draw bounding boxes for object detection datasets
- create instance segmentation training data
- label images for image classification
- AI-assisted click-to-segment annotation with SAM
- convert annotations to YOLO or VOC dataset formats
- annotate video frames for computer vision
- label keypoints with point annotations

## When to choose
- you need a free, open-source, offline image labeling tool
- you are building segmentation or detection datasets in Python
- you want AI-assisted annotation without sending data to the cloud
- you need JSON annotations exportable to common ML formats

## When to avoid
- you need collaborative, multi-user web-based annotation
- you want a no-install experience without Python (consider the paid standalone app)
- you need audio, text, or 3D annotation
- you require permissive licensing for redistribution (GPL-3.0)

## Facets
- artifact type: application
- maturity: active
- function: image-processing, computer-vision, machine-learning, gui, cli
- domain: computer-vision, image-processing, machine-learning, artificial-intelligence, developer-tools
- platform: python, cross-platform, windows
- tags: image-annotation, labeling, segmentation, bounding-boxes, sam, dataset-creation, qt, yolo, voc, polygon-annotation, linux, macos, desktop

## Member repositories
- wkentaro/labelme (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:14.815445+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 2026-08-29T17:05:13.943498+00:00, confidence not recorded.
  - readme: https://github.com/wkentaro/labelme (fetched 2026-08-28T04:11:14.815445+00:00, sha e09160c29dde)
  - homepage: https://labelme.io (fetched 2026-08-29T08:03:02.573546+00:00, sha 339da4b9eb5f)
  - site_page: https://labelme.io/docs (fetched 2026-08-29T08:03:02.581110+00:00, sha 8567142bfe67)
  - site_page: https://labelme.io/docs/install-labelme-app (fetched 2026-08-29T08:03:02.582901+00:00, sha fd63406aefaf)
  - site_page: https://labelme.io/docs/install-toolkit (fetched 2026-08-29T08:03:02.584530+00:00, sha bbee759ab6d3)
  - site_page: https://labelme.io/docs/starter-guide (fetched 2026-08-29T08:03:02.586096+00:00, sha d8f609fd490e)
  - site_page: https://labelme.io/docs/dataset-guide (fetched 2026-08-29T08:03:02.587583+00:00, sha 9c73afee309b)
  - site_page: https://labelme.io/docs/annotation-basics (fetched 2026-08-29T08:03:02.589020+00:00, sha 8f2e534b50d5)
  - site_page: https://labelme.io/changelog (fetched 2026-08-29T08:03:02.577289+00:00, sha 7dde895ad8d8)
  - site_page: https://labelme.io/pricing (fetched 2026-08-29T08:03:02.579295+00:00, sha 35d180300e90)
- Data as of 2026-08-30T08:39:29.467469+00:00.