CVHub520/X-AnyLabeling

Health v2 · maintenance only

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10212 stars · 1124 forks observed · 2026-08-28

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

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

application · maturity active

image-processing computer-vision ocr machine-learning deep-learning gui data-science computer-vision image-processing machine-learning artificial-intelligence data-science windows python cross-platform data-annotation labeling-tool sam yolo onnxruntime segmentation object-detection pose-estimation video-annotation model-zoo dataset-preparation video linux macos desktop

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