Awesome

<img alt="AnyLabeling" style="width: 128px; max-width: 100%; height: auto;" src="https://github.com/user-attachments/assets/847e47e6-acf0-4f96-9ed9-5485ab405ae0"/> <h1 align="center">🌟 AnyLabeling 🌟</h1> Effortless data labeling with AI support from YOLO and Segment 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.

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.