diff --git a/example/vision/detetcion/images/img.png b/example/vision/detetcion/images/img.png
new file mode 100644
index 0000000000000000000000000000000000000000..9a587898c0cb587d31032965cac0709552064257
Binary files /dev/null and b/example/vision/detetcion/images/img.png differ
diff --git a/example/vision/detetcion/images/results_and_fps.png b/example/vision/detetcion/images/results_and_fps.png
new file mode 100644
index 0000000000000000000000000000000000000000..81c8fba405412f77620ad3ef71b68b966feff763
Binary files /dev/null and b/example/vision/detetcion/images/results_and_fps.png differ
diff --git a/example/vision/detetcion/images/start.png b/example/vision/detetcion/images/start.png
new file mode 100644
index 0000000000000000000000000000000000000000..83e7ed7c5864515264fcb38c50e6aa6ef2219d16
Binary files /dev/null and b/example/vision/detetcion/images/start.png differ
diff --git a/example/vision/detetcion/python/README.md b/example/vision/detetcion/python/README.md
index 93edfb1ff0c26e74fc09dc58ab9a8e67bea548ce..dd0551cddec086ddca323ac76044814b6a518c3b 100644
--- a/example/vision/detetcion/python/README.md
+++ b/example/vision/detetcion/python/README.md
@@ -253,10 +253,14 @@ if __name__ == "__main__":
 ```bash
 python test_detection.py LZ-Picodet.rknn
 ```
+![](../images/start.png)
 
+连接凌智视觉模块图片传输助手[凌智视觉模块图片传输助手下载地址](https://gitee.com/LockzhinerAI/LockzhinerVisionModule/releases/download/v0.0.0/LockzhinerVisionModuleImageFetcher.exe)后，选择连接设备
+
+![](../images/img.png)
 运行程序后，屏幕上开始打印矩形框信息，标签信息和置信度，并在一段时间后输出 FPS 值
 
-![alt text](../images/FPS.png)
+![alt text](../images/results_and_fps.png)
 
 <!-- ## 5 其他 -->
 
diff --git a/example/vision/face_detection/images/img.png b/example/vision/face_detection/images/img.png
new file mode 100644
index 0000000000000000000000000000000000000000..5006d38434c3673d196f67a50ccf56d8f515651b
Binary files /dev/null and b/example/vision/face_detection/images/img.png differ
diff --git a/example/vision/face_detection/images/results.png b/example/vision/face_detection/images/results.png
new file mode 100644
index 0000000000000000000000000000000000000000..e2276adbf4d3b19e859cf4dba621842060935b2a
Binary files /dev/null and b/example/vision/face_detection/images/results.png differ
diff --git a/example/vision/face_detection/images/start.png b/example/vision/face_detection/images/start.png
new file mode 100644
index 0000000000000000000000000000000000000000..dd1ceb9225b17cc96060b2a881aa1dfb885fc1d5
Binary files /dev/null and b/example/vision/face_detection/images/start.png differ
diff --git a/example/vision/face_detection/images/upload.png b/example/vision/face_detection/images/upload.png
new file mode 100644
index 0000000000000000000000000000000000000000..e1113951fd97a836adb74ac6c99883d4c08ae9dd
Binary files /dev/null and b/example/vision/face_detection/images/upload.png differ
diff --git a/example/vision/face_detection/python/README.md b/example/vision/face_detection/python/README.md
index fc693f3b17bb71369db512588ddd273127fa35d0..6495c8d14473e8db3ad10b9637a51eaccc372c66 100644
--- a/example/vision/face_detection/python/README.md
+++ b/example/vision/face_detection/python/README.md
@@ -265,19 +265,24 @@ if __name__ == "__main__":
 - 进入存放 **test_retina_face.py** 脚本文件的目录，将 **test_retina_face.py** 上传到 Lockzhiner Vision Module
 - 进入存放 **LZ-RetinaFace.rknn(也可能是其他模型)** 模型存放的目录（模型存放在训练模型后下载的 output 文件夹内），将 **LZ-RetinaFace.rknn** 上传到 Lockzhiner Vision Module
 
-![](images/stfp_0.png)
+![](../images/upload.png)
+
 
-![](images/stfp_1.png)
 
 请使用 Electerm Ssh 并在命令行中执行以下命令:
 
 ```bash
 python test_retina_face.py LZ-RetinaFace.rknn
 ```
+![](../images/start.png)
+
+连接凌智视觉模块图片传输助手[凌智视觉模块图片传输助手下载地址](https://gitee.com/LockzhinerAI/LockzhinerVisionModule/releases/download/v0.0.0/LockzhinerVisionModuleImageFetcher.exe)后，选择连接设备
+
+![](../images/img.png)
 
 运行程序后，屏幕上开始打印矩形框信息和置信度，并在一段时间后输出 FPS 值
 
-![alt text](result_0.png)
+![alt text](../images/results.png)
 
 <!-- ## 5 其他 -->