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Effortless data labeling with AI support fromYOLO andSegment Anything!

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

Auto Labeling with Segment Anything

• Youtube Demo:https://www.youtube.com/watch?v=5qVJiYNX5Kk
• Documentation:https://anylabeling.nrl.ai

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.

• Download and run newest version fromReleases.
• 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

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

• Recommended:Miniconda/Anaconda.

• Create environment:

conda create -n anylabeling python=3.12conda 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

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

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!

• 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

• Install PyInstaller:

pip install -r requirements-dev.txt

• Build:

bash build_executable.sh

• Check the outputs in:dist/.

If you want to contribute toAnyLabeling, please readContribution Guidelines.

• Labeling UI built with ideas and components fromLabelImg,LabelMe.
• Auto-labeling withSegment Anything Models,MobileSAM.
• Auto-labeling withYOLOv8.