diff --git a/README_ch.md b/README_ch.md
index 9d21ace0b..ece1dd70b 100644
--- a/README_ch.md
+++ b/README_ch.md
@@ -26,12 +26,11 @@ Res2Net200_vd预训练模型Top-1精度高达85.1%。
- 数据增广:支持AutoAugment、Cutout、Cutmix等8种数据增广算法详细介绍、代码复现和在统一实验环境下的效果评估。
-## 图像识别系统效果展示
+
-更多效果图请见:[识别效果展示页面](./docs/zh_CN/more_demo.md)
## 欢迎加入技术交流群
@@ -80,10 +79,6 @@ Res2Net200_vd预训练模型Top-1精度高达85.1%。
- [贡献代码](#贡献代码)
-
-## 图像识别系统介绍
-
-
@@ -94,39 +89,29 @@ Res2Net200_vd预训练模型Top-1精度高达85.1%。
-## 识别效果展示 [more](./docs/zh_CN/more_demo.md)
+## 更多效果展示 [more](https://github.com/PaddlePaddle/PaddleClas/tree/release/2.2/docs/images/recognition/more_demo_images)
- 商品识别
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- 动漫人物识别
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- logo识别
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- 车辆识别
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## 许可证书
diff --git a/README_en.md b/README_en.md
index 1ad9cd521..96541b102 100644
--- a/README_en.md
+++ b/README_en.md
@@ -26,12 +26,11 @@ Four sample solutions are provided, including product recognition, vehicle recog
-## Image Recognition System Effect Demonstration
+
-For more effect pictures, please see [Demo images](./docs/en/more_demo.md).
## Welcome to Join the Technical Exchange Group
@@ -92,37 +91,25 @@ Image recognition can be divided into three steps:
For a new unknown category, there is no need to retrain the model, just prepare images of new category, extract features and update retrieval database and the category can be recognised.
-## Demo images [more](./docs/en/more_demo.md)
+## Demo images [more](https://github.com/PaddlePaddle/PaddleClas/tree/release/2.2/docs/images/recognition/more_demo_images)
- Product recognition
-

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+
- Cartoon character recognition
-

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- Logo recognition
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- Car recognition
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diff --git a/docs/zh_CN/more_demo.md b/docs/zh_CN/more_demo.md
index ea5d83f4d..e0b19423f 100644
--- a/docs/zh_CN/more_demo.md
+++ b/docs/zh_CN/more_demo.md
@@ -58,4 +58,4 @@
-[更多效果图](../images/recognition/more_demo_images)
+[更多效果图](https://github.com/PaddlePaddle/PaddleClas/tree/release/2.2/docs/images/recognition/more_demo_images)