yangyuke001/X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

💫 X-AnyLabeling 💫

Effortless data labeling with AI support from Segment Anything and other awesome models!

X-AnyLabeling: Advanced Auto Labeling Solution with Added Features

English | 简体中文

Auto Labeling with Segment Anything

Features:

• Image annotation for polygon, rectangle, circle, line and point.
• Auto-labeling with YOLOv5 and Segment Anything.
• Text detection, recognition and KIE (Key Information Extraction) labeling.
• Multiple languages availables: English, Chinese.

Highlight:

• Detection-Guided Fine-grained Classification.
• Offer face detection with keypoint detection.
• Provide advanced detectors, including YOLOv6, YOLOv7, YOLOv8, and DETR series.
• Enables seamless conversion to industry-standard formats such as COCO-JSON, VOC-XML, and YOLOv5-TXT.

I. 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

Note: At present, we exclusively offer a graphical user interface (GUI) executable program designed specifically for the Windows operating system. For users on other operating systems, we provide instructions in Step Ⅲ to compile the program independently.

2. Install from Pypi

Not ready yet, coming soon...

II. Development

• Install packages

pip install -r requirements.txt

• Generate resources:

pyrcc5 -o anylabeling/resources/resources.py anylabeling/resources/resources.qrc

• Run app:

python anylabeling/app.py

III. Build executable Build

• Install PyInstaller:

pip install -r requirements-dev.txt

• Build:

Note: Please replace the 'pathex' in the anylabeling.spec file according to the local conda environment before running.

bash build_executable.sh

• Check the outputs in: dist/.

IV. References

• This project is built upon Anylabeling and extends it with a variety of additional features. We would like to express our sincere gratitude to @vietanhdev for open-sourcing such an awesome tool.
• Supports popular frameworks with MMPreTrain, PaddleClas, timm, and etc.
• Auto-labeling with YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, Segment Anything Models.

Contact 👋

Welcome to CVHub, a loving, fun, and informative platform for sharing computer vision expertise. We provide original, multidisciplinary, and in-depth interpretations of cutting-edge AI research papers, along with mature industrial-grade application solutions. We offer a one-stop service for academia, technology, and career needs.

Platform	Account
Wechat 💬	cv_huber
Zhihu 🧠	CVHub
CSDN 📚	CVHub
Github 🐱	CVHub

If you have any questions or encounter any issues while using this project, please scan the QR code below and add me as a friend on WeChat with the note "X-AnyLabeling". I'll be happy to assist you!