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 [![License](https://img.shields.io/badge/license-Apache%202-red.svg)](LICENSE)[![Version](https://img.shields.io/github/release/PaddlePaddle/PaddleX.svg)](https://github.com/PaddlePaddle/PaddleX/releases)![python version](https://img.shields.io/badge/python-3.6+-orange.svg)![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
 
 ![QQGroup](https://img.shields.io/badge/QQ_Group-1045148026-52B6EF?style=social&logo=tencent-qq&logoColor=000&logoWidth=20)
 
 
-[Complete PaddleX Online Documentation Contents](https://paddlex.readthedocs.io/zh_CN/develop/index.html)
 
+[Complete PaddleX Online Documentation Contents](https://paddlex.readthedocs.io/zh_CN/develop_en/index.html)
 
 
 It is integrated the abilities of **Image classification**, **Object detection**, **Semantic segmentation**, and **Instance segmentation** in the Paddle CV toolkits, and get through the whole-process development from **Data preparation** and **Model training and optimization** to **Multi-end deployment**. At the same time, PaddleX provides **Succinct APIs** and a **Graphical Ueser Interface**. Developers can quickly complete the end-to-end process development of the Paddle in a form of **low-code**  without installing different libraries.