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Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

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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

Auto Labeling with Segment Anything

AnyLabeling-SegmentAnything

Features:

  • Image annotation for polygon, rectangle, circle, line and point.
  • Auto-labeling YOLOv8, Segment Anything (SAM, SAM2).
  • Text detection, recognition and KIE (Key Information Extraction) labeling.
  • Multiple languages availables: English, Vietnamese, Chinese.

Install and Run

1. Download and run executable

  • Download and run newest version from Releases.
  • 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

Install from Pypi

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

  • Recommended: Miniconda/Anaconda.

  • Create environment:

conda create -n anylabeling python=3.12
conda activate anylabeling
  • (For macOS only) Install PyQt5 using Conda:
conda install -c conda-forge pyqt==5.15.9
  • Install anylabeling:
pip install anylabeling # or pip install anylabeling-gpu for GPU support
  • Start labeling:
anylabeling

Documentation

Website: https://anylabeling.nrl.ai/

Applications

Object Detection Recognition Facial Landmark Detection 2D Pose Estimation
2D Lane Detection OCR Medical Imaging Instance Segmentation
Image Tagging Rotation And more!
Your applications here!

Development

  • Install packages:
pip install -r requirements-dev.txt
# or pip install -r requirements-macos-dev.txt for MacOS
  • Generate resources:
pyrcc5 -o anylabeling/resources/resources.py anylabeling/resources/resources.qrc
  • Run app:
python anylabeling/app.py

Build executable

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

Contribution

If you want to contribute to AnyLabeling, please read Contribution Guidelines.

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