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Description:

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.