Awesome
<p align="center"> <img alt="AnyLabeling" style="width: 128px; max-width: 100%; height: auto;" src="https://user-images.githubusercontent.com/18329471/232250539-2b15b9ee-5593-41d0-ba22-e0442f314cce.png"/> <h1 align="center">🌟 AnyLabeling 🌟</h1> <p align="center">Effortless data labeling with AI support from <b>YOLO</b> and <b>Segment Anything</b>!</p> <p align="center"><b>AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling</b></p> </p>
<a href="https://youtu.be/5qVJiYNX5Kk"> <img alt="AnyLabeling" src="https://raw.githubusercontent.com/vietanhdev/anylabeling/master/assets/screenshot.png"/> </a>+⭐ Follow vietanhdev for project updates.
Auto Labeling with Segment Anything
<a href="https://youtu.be/5qVJiYNX5Kk"> <img style="width: 800px; margin-left: auto; margin-right: auto; display: block;" alt="AnyLabeling-SegmentAnything" src="https://user-images.githubusercontent.com/18329471/236625792-07f01838-3f69-48b0-a12e-30bad27bd921.gif"/> </a>- 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 |
|---|---|---|---|
| <img src='https://user-images.githubusercontent.com/72010077/273488633-fc31da5c-dfdd-434e-b5d0-874892807d95.png' height="126px" width="180px"> | <img src='https://user-images.githubusercontent.com/72010077/277396071-79daec2c-6b0a-4d42-97cf-69fd098b3400.png' height="126px" width="180px"> | <img src='https://user-images.githubusercontent.com/61035602/206095684-72f42233-c9c7-4bd8-9195-e34859bd08bf.jpg' height="126px" width="180px"> | <img src='https://user-images.githubusercontent.com/61035602/206100220-ab01d347-9ff9-4f17-9718-290ec14d4205.gif' height="126px" width="180px"> |
| 2D Lane Detection | OCR | Medical Imaging | Instance Segmentation |
| <img src='https://user-images.githubusercontent.com/72010077/273764641-65f456ed-27ce-4077-8fce-b30db093b988.jpg' height="126px" width="180px"> | <img src='https://user-images.githubusercontent.com/72010077/273421210-30d20e08-3b72-4f4d-8976-05b564e13d87.png' height="126px" width="180px"> | <img src='https://user-images.githubusercontent.com/72010077/273764318-e8b6a197-e733-478e-a210-e4386bafa1e4.png' height="126px" width="180px"> | <img src='https://user-images.githubusercontent.com/61035602/206095831-cc439557-1a23-4a99-b6b0-b6f2e97e8c57.jpg' height="126px" width="180px"> |
| Image Tagging | Rotation | And more! | |
| <img src='https://user-images.githubusercontent.com/72010077/277670825-8797ac7e-e593-45ea-be6a-65c3af17b12b.png' height="126px" width="180px"> | <img src='https://user-images.githubusercontent.com/72010077/277395955-aab54ea0-88f5-41af-ab0a-f4158a673f5e.png' height="126px" width="180px"> | 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.