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Introduction
AnyLabeling

🌟 AnyLabeling 🌟

Effortless data labeling with AI support from YOLO and Segment Anything!

AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling

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AnyLabeling

Features:

  • Image annotation for polygon, rectangle, circle, line and point.
  • Auto-labeling with YOLOv8 (object detection).
  • Auto-labeling with Segment Anything family:
    • SAM (ViT-B / ViT-L / ViT-H) and MobileSAM
    • SAM 2 and SAM 2.1 (Hiera-Tiny / Small / Base+ / Large)
    • SAM 3 (ViT-H) — open-vocabulary segmentation with text prompts
  • Text detection, recognition and KIE (Key Information Extraction) labeling.
  • Hardware acceleration with CUDA, CoreML, DirectML, OpenVINO, and vendor NPU providers.
  • Multiple languages available: English, Vietnamese, Chinese.

Latest release

AnyLabeling v0.4.43 provides SHA-256 digests and native-runner launch checks for CPU and accelerated binaries on Linux, Windows, and Apple Silicon macOS. It fixes recovery after model download/load failures, invalid SAM preload images, grouped-shape persistence and undo, and reliable label-file closure.

See Recent Releases for details and Hardware Acceleration for device setup.

I. Install and run

1. Download and run executable

  • Download and run newest version from Releases (opens in a new tab).
  • For MacOS:
    • After installing, go to Applications folder
    • Right click on the app and select Open
    • From the second time, you can open the app normally using Launchpad

2. Install from Pypi

conda create -n anylabeling python=3.12
conda activate anylabeling
  • (For macOS only) Install PyQt6 using Conda:
conda install -c conda-forge pyqt=6
  • Install anylabeling:
pip install anylabeling
  • Start labeling:
anylabeling

For NVIDIA CUDA on Linux or Windows, use a fresh environment and install anylabeling-gpu. Apple Silicon users can install anylabeling[macos] for CoreML support. See How to Install? for complete instructions.

II. Development

  • Generate resources:
pyrcc5 -o anylabeling/resources/resources.py anylabeling/resources/resources.qrc
  • Run app:
python anylabeling/app.py

III. Build executable

  • Install PyInstaller:
pip install -r requirements-dev.txt
  • Build:
bash build_executable.sh
  • Check the outputs in: dist/.

IV. Contribution

If you want to contribute to AnyLabeling, please read Contribution Guidelines (opens in a new tab).

V. Star history

Star History Chart (opens in a new tab)

VI. References

How to Install?