X-AnyLabeling

Annotation platform for images and video with automatic labeling from SAM, YOLO, and vision language models.

Open SourceSelf HostedOffline Capable
0.0 (0)

About

X-AnyLabeling wraps a full annotation studio around model-assisted labeling, covering horizontal and rotated boxes, polygons, instance and semantic masks, keypoints, OCR text, and multi-object tracking across images and video. Its auto-labeling engine loads SAM 1 through 3, SAM-HQ, and EdgeSAM for interactive segmentation, YOLOv5 through YOLO26 and YOLO-World for detection, Grounding DINO for open vocabulary prompts, and vision language models such as Qwen3-VL and Florence-2, with inference running through ONNX Runtime, OpenCV DNN, or TensorRT on NVIDIA GPUs. The desktop GUI runs on Windows, Linux, and macOS, installed from PyPI as x-anylabeling-cvhub on Python 3.11 or newer or launched from source, and exports flow to COCO, YOLO, VOC, DOTA, MOT, and other training formats. The project is GPL-3.0 licensed, which permits commercial use but requires derived tools to remain open. Actively developed by CVHub with commits into late July 2026 and roughly 9,900 GitHub stars, it is one of the most capable open alternatives to commercial labeling platforms.

Should you use X-AnyLabeling?

Pick it when

Pick this when you label images or video on your own machine and want SAM, YOLO, Grounding DINO, or VLM pre-labels to cut clicks, with optional TensorRT on an NVIDIA GPU and export to COCO, YOLO, DOTA, or MOT.

Look elsewhere when

Skip it when several annotators must share one server with roles, review, and QA, where CVAT fits, or when GPL-3.0 is a problem for a tool you plan to modify and distribute. Plain box-only jobs run lighter in YOLO-Label.

Alternatives to X-AnyLabeling

  • CVAT

    Multi-user server with review, consensus, and honeypot QA plus SAM assistance, but a Docker or Kubernetes deployment instead of a desktop install.

  • Autodistill

    Labels whole datasets automatically and trains a small target model with no human pass, faster but without per-image correction.

  • Labelme

    MIT licensed and simpler for manual polygons with basic SAM assist, but a far smaller model set than X-AnyLabeling's YOLO, VLM, and tracking zoo.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
GPL-3.0
Added
Jul 29, 2026

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