🌟 AnyLabeling 🌟

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

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

• Youtube Demo: https://youtu.be/5qVJiYNX5Kk (opens in a new tab)
• Documentation: https://anylearning.nrl.ai (opens in a new tab)

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.
• Multiple languages availables: English, Vietnamese, Chinese.

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

• Requirements: Python 3.10+. Recommended: Python 3.12.

• Recommended: Miniconda/Anaconda (opens in a new tab).

• Create environment:

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 # or pip install anylabeling-gpu for GPU support

• Start labeling:

anylabeling

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

(opens in a new tab)

VI. References

• Labeling UI built with ideas and components from LabelImg (opens in a new tab), LabelMe (opens in a new tab).
• Auto-labeling with Segment Anything Models (opens in a new tab).
• Auto-labeling with YOLOv5 (opens in a new tab), YOLOv8 (opens in a new tab).