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anylabeling 0.4.10
🌟 AnyLabeling 🌟
Effortless data labeling with AI support from YOLO and Segment Anything!
AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling
+⭐ Follow vietanhdev for project updates.
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.
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.
Star history
References
Labeling UI built with ideas and components from LabelImg, LabelMe.
Auto-labeling with Segment Anything Models, MobileSAM.
Auto-labeling with YOLOv8.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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