Ross ROSS = Recommend OSS · open-source software intelligence for agents

vietanhdev/anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!! observed · 2026-08-28

github.com/vietanhdev/anylabeling · homepage · Python · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

85/100

  • Activity 96
  • Release rhythm 69
  • Longevity 88
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 55.5
  • age_days: 1243
  • days_rel: 130
  • days_push: 24
  • n_releases_24m: 5

Full methodology

Adoption not part of the score

3463 stars · 349 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

application · maturity active

image-processing machine-learning computer-vision gui computer-vision image-processing machine-learning artificial-intelligence cross-platform python windows data-labeling image-annotation segment-anything yolo auto-labeling onnx pyqt desktop macos linux

5 sources

Member repositories

RepositoryRoleHealth v2
vietanhdev/anylabelingmain85

For agents

markdown · JSON · MCP: product_card(name="vietanhdev/anylabeling")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem