diff --git a/python/examples/faster_rcnn_model/README.md b/python/examples/faster_rcnn_model/README.md
index 3e676d69e6e1208272df3d7036d769e63bff9f3e..d8c41521ab68a6325bf30e1405b812f392f85698 100644
--- a/python/examples/faster_rcnn_model/README.md
+++ b/python/examples/faster_rcnn_model/README.md
@@ -2,7 +2,7 @@
 
 ([简体中文](./README_CN.md)|English)
 
-This article requires [Paddle Detection](https://github.com/PaddlePaddle/PaddleDetection) trained models and configuration files. If users want to quickly deploy on Paddle Serving, please read the chapter 2 directly.
+This article requires [Paddle Detection](https://github.com/PaddlePaddle/PaddleDetection) trained models and configuration files. If users want to quickly deploy on Paddle Serving, please read the Chapter 2 directly.
 
 ## 1. Train an object detection model
 
@@ -66,6 +66,7 @@ This is the input picture
 <img src = '000000570688_bbox.jpg'>
     <br>
 <p>
+  
 This is the picture after adding bbox. You can see that the client has done post-processing for the picture. In addition, the output/bbox.json also has the number and coordinate information of each box.