# CVHub520/X-AnyLabeling

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

Repository: https://github.com/CVHub520/X-AnyLabeling
Canonical: https://ross.abutalabs.com/products/x-anylabeling
Homepage: https://xanylabeling.com
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: sam, yolo, deep-learning, clip, object-detection, pose-estimation, artificial-intelligence, computer-vision, groundingdino, image-annotation-tool, image-classification, image-labeling-tool, image-matting, instance-segmentation, machine-learning, ocr, onnxruntime, paddlepaddle, rotated-object-detection, vision-language-model
Last push: 2026-08-26T17:46:34+00:00

## Health v2 (maintenance only)
Score: 96/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 85
- inputs: {"age_days": 1198, "days_push": 7, "days_rel": 9, "gap_med": 7.0, "n_releases_24m": 51}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10212, forks 1124 (observed 2026-08-28T04:10:39.905904+00:00)

## What it is
X-AnyLabeling is a cross-platform desktop application for AI-assisted annotation of text, image, video, and multimodal data. It bundles built-in annotation tools with a large model zoo (SAM, YOLO, GroundingDINO, OCR, pose models) and flexible multi-format import/export for training data preparation.

## Use cases
- label images for object detection training
- annotate segmentation masks with SAM assistance
- create bounding box datasets in YOLO or COCO format
- annotate video frames for tracking datasets
- run OCR and pose estimation labeling with pretrained models
- prepare multimodal training data with model-assisted labeling

## When to choose
- you need AI-assisted labeling to speed up dataset creation
- you want one tool covering detection, segmentation, pose, OCR, and video annotation
- you need export to many formats like YOLO, COCO, VOC, DOTA, or masks
- you want a free cross-platform GUI alternative to commercial annotation tools

## When to avoid
- you need a web-based collaborative annotation platform for large teams
- you only need simple text or audio labeling without vision models
- you require a permissively licensed tool for proprietary redistribution (GPL-3.0)

## Facets
- artifact type: application
- maturity: active
- function: image-processing, computer-vision, ocr, machine-learning, deep-learning, gui, data-science
- domain: computer-vision, image-processing, machine-learning, artificial-intelligence, data-science
- platform: windows, python, cross-platform
- tags: data-annotation, labeling-tool, sam, yolo, onnxruntime, segmentation, object-detection, pose-estimation, video-annotation, model-zoo, dataset-preparation, video, linux, macos, desktop

## Member repositories
- CVHub520/X-AnyLabeling (main) score 96

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:39.905904+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 2026-08-29T17:19:30.483727+00:00, confidence not recorded.
  - readme: https://github.com/CVHub520/X-AnyLabeling (fetched 2026-08-28T04:10:39.905904+00:00, sha 75c38467c826)
  - homepage: https://xanylabeling.com (fetched 2026-08-29T08:19:17.391852+00:00, sha c24c8ecd1793)
  - site_page: https://xanylabeling.com/docs/x-anylabeling/get_started (fetched 2026-08-29T08:19:17.395435+00:00, sha 48ab9f4e37e5)
  - site_page: https://xanylabeling.com/docs/x-anylabeling/model_zoo (fetched 2026-08-29T08:19:17.398279+00:00, sha a181c7ace75d)
  - site_page: https://xanylabeling.com/docs/x-anylabeling/user_guide (fetched 2026-08-29T08:19:17.400720+00:00, sha 46bfd9b4aabd)
  - site_page: https://xanylabeling.com/docs/x-anylabeling/remote_service/get_started (fetched 2026-08-29T08:19:17.404093+00:00, sha 86159ae8bdc2)
- Data as of 2026-08-30T08:39:29.467469+00:00.