# vietanhdev/anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

Repository: https://github.com/vietanhdev/anylabeling
Canonical: https://ross.abutalabs.com/products/anylabeling
Homepage: https://anylabeling.nrl.ai
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: labeling, labeling-tool, segment-anything, yolov8, auto-labeling, computer-vision, onnx, mobilesam, sam2, segment-anything-2, yolo
Last push: 2026-08-09T05:52:06+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 69, longevity 88
- inputs: {"age_days": 1243, "days_push": 24, "days_rel": 130, "gap_med": 55.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3463, forks 349 (observed 2026-08-28T04:08:05.716109+00:00)

## What it is
AnyLabeling is a desktop image annotation tool that combines LabelImg/Labelme-style manual labeling with AI-assisted auto-labeling. It runs YOLO and Segment Anything (SAM, SAM2/2.1/3, MobileSAM) models via ONNX to suggest masks and bounding boxes during annotation.

## Use cases
- annotate images with polygons and bounding boxes for object detection
- auto-segment objects with Segment Anything while labeling
- label datasets for YOLO training
- create segmentation masks for computer vision datasets
- label text detection and OCR key information extraction data
- speed up dataset annotation with AI-assisted labeling

## When to choose
- you need a free, offline desktop tool for image annotation
- you want AI-assisted segmentation (SAM family) to speed up labeling
- you are preparing object detection or segmentation datasets for YOLO models
- you need polygon, rectangle, line, point, and OCR/KIE annotation in one app

## When to avoid
- you need collaborative, web-based team labeling workflows
- you label video, audio, or 3D data rather than images
- you require permissive licensing for redistribution (GPL-3.0)

## Facets
- artifact type: application
- maturity: active
- function: image-processing, machine-learning, computer-vision, gui
- domain: computer-vision, image-processing, machine-learning, artificial-intelligence
- platform: cross-platform, python, windows
- tags: data-labeling, image-annotation, segment-anything, yolo, auto-labeling, onnx, pyqt, desktop, macos, linux

## Member repositories
- vietanhdev/anylabeling (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.716109+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 2026-08-29T18:36:53.824813+00:00, confidence not recorded.
  - readme: https://github.com/vietanhdev/anylabeling (fetched 2026-08-28T04:08:05.716109+00:00, sha 732ed0c6ce91)
  - homepage: https://anylabeling.nrl.ai (fetched 2026-08-29T09:30:57.678760+00:00, sha fd9333f5a382)
  - site_page: https://anylabeling.nrl.ai/docs (fetched 2026-08-29T09:30:57.688150+00:00, sha 053819fea9f0)
  - site_page: https://anylabeling.nrl.ai/about (fetched 2026-08-29T09:30:57.690257+00:00, sha e43cefd698b6)
  - registry_pypi: https://pypi.org/pypi/anylabeling/json (fetched 2026-08-29T09:30:57.691930+00:00, sha 40897b8749f7)
- Data as of 2026-08-30T08:39:29.467469+00:00.