anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Stars: 2114
AnyLabeling is a tool for effortless data labeling with AI support from YOLO and Segment Anything. It combines features from LabelImg and Labelme with an improved UI and auto-labeling capabilities. Users can annotate images with polygons, rectangles, circles, lines, and points, as well as perform auto-labeling using YOLOv5 and Segment Anything. The tool also supports text detection, recognition, and Key Information Extraction (KIE) labeling, with multiple language options available such as English, Vietnamese, and Chinese.
README:
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:
- [x] Image annotation for polygon, rectangle, circle, line and point.
- [x] Auto-labeling YOLOv8, Segment Anything (SAM, SAM2).
- [x] Text detection, recognition and KIE (Key Information Extraction) labeling.
- [x] Multiple languages availables: English, Vietnamese, Chinese.
- 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
-
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
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 to AnyLabeling, please read Contribution Guidelines.
- Labeling UI built with ideas and components from LabelImg, LabelMe.
- Auto-labeling with Segment Anything Models, MobileSAM.
- Auto-labeling with YOLOv8.
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