diff --git a/modules/image/classification/DriverStatusRecognition/README.md b/modules/image/classification/DriverStatusRecognition/README.md
index 2444f5cb5ebdea33a835d7e43a62f53b4cbcac3b..9183c607af9f5405edcf4ab7a829b012803da17d 100644
--- a/modules/image/classification/DriverStatusRecognition/README.md
+++ b/modules/image/classification/DriverStatusRecognition/README.md
@@ -50,7 +50,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/SnakeIdentification/README.md b/modules/image/classification/SnakeIdentification/README.md
index d46171e7908d3692323bda495567d59601817ed7..809aae6db923f222fe125c3e31952f2f46f42204 100644
--- a/modules/image/classification/SnakeIdentification/README.md
+++ b/modules/image/classification/SnakeIdentification/README.md
@@ -50,7 +50,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/alexnet_imagenet/README.md b/modules/image/classification/alexnet_imagenet/README.md
index fc78ae41a373186c2d90b383b2f21388c8f73f34..50fe4c0b30cbe51015358f44d8ad1a663b54f914 100644
--- a/modules/image/classification/alexnet_imagenet/README.md
+++ b/modules/image/classification/alexnet_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/darknet53_imagenet/README.md b/modules/image/classification/darknet53_imagenet/README.md
index cea4d9ccd8d47989f24b5049c4f6681db7f86f53..161f4342794229f00ea7e0baa42f73831ee460a4 100644
--- a/modules/image/classification/darknet53_imagenet/README.md
+++ b/modules/image/classification/darknet53_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现文字识别模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/densenet121_imagenet/README.md b/modules/image/classification/densenet121_imagenet/README.md
index 5bc63456c0f1d05dbf9a54a01423fda7142a8831..548d5d98392e91638f764692354b3984ce1ef39f 100644
--- a/modules/image/classification/densenet121_imagenet/README.md
+++ b/modules/image/classification/densenet121_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/densenet161_imagenet/README.md b/modules/image/classification/densenet161_imagenet/README.md
index 0216cfe748ebda47606f515d4a935bc28349c899..19c779407258ca49c1bcd12d0298b1f8cae0122c 100644
--- a/modules/image/classification/densenet161_imagenet/README.md
+++ b/modules/image/classification/densenet161_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/densenet169_imagenet/README.md b/modules/image/classification/densenet169_imagenet/README.md
index 78f9553c8d3534e18392a1b53c195c3a4b9b68df..56a7bd4ea597fd569a79bad46386a5092ded34c6 100644
--- a/modules/image/classification/densenet169_imagenet/README.md
+++ b/modules/image/classification/densenet169_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/densenet201_imagenet/README.md b/modules/image/classification/densenet201_imagenet/README.md
index 157c0b474e923be9e48ff85c1eb81b1ebbfd9150..702886c8579f6d9b786735de2e7babf0c607678a 100644
--- a/modules/image/classification/densenet201_imagenet/README.md
+++ b/modules/image/classification/densenet201_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/densenet264_imagenet/README.md b/modules/image/classification/densenet264_imagenet/README.md
index 0569a8a201ec0a0997ba44028cea683bebf121b9..4a35aea838a761747f054d4e3749c0ddcfad3569 100644
--- a/modules/image/classification/densenet264_imagenet/README.md
+++ b/modules/image/classification/densenet264_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/dpn107_imagenet/README.md b/modules/image/classification/dpn107_imagenet/README.md
index ab68646d050ad5fbba29196b584678489bee2bf0..e97226f52d8a4ca5d8bb22ec6f523a34be189271 100644
--- a/modules/image/classification/dpn107_imagenet/README.md
+++ b/modules/image/classification/dpn107_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/dpn131_imagenet/README.md b/modules/image/classification/dpn131_imagenet/README.md
index 61ce2aef5cb98bac6a8bfad17f9fb277e8d7435a..1afd847c268a4907fe9dd520ac12eaa78dec88df 100644
--- a/modules/image/classification/dpn131_imagenet/README.md
+++ b/modules/image/classification/dpn131_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/dpn68_imagenet/README.md b/modules/image/classification/dpn68_imagenet/README.md
index fe643e4e4172099ff457f1755593d0d983547b71..72518161921afbd4b02e9722715a6aaf63b2464d 100644
--- a/modules/image/classification/dpn68_imagenet/README.md
+++ b/modules/image/classification/dpn68_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/dpn92_imagenet/README.md b/modules/image/classification/dpn92_imagenet/README.md
index f53fd2bd2d56b1fc88b0a81ff73713bee0afb054..69024027df06f87801bdaf5e7c3c44183bd4a1eb 100644
--- a/modules/image/classification/dpn92_imagenet/README.md
+++ b/modules/image/classification/dpn92_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/dpn98_imagenet/README.md b/modules/image/classification/dpn98_imagenet/README.md
index fcadc5bea779de6657dda64bd9621674f6b0151e..a418583c623729c72c281ef52c9071c46cc8edc1 100644
--- a/modules/image/classification/dpn98_imagenet/README.md
+++ b/modules/image/classification/dpn98_imagenet/README.md
@@ -47,7 +47,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb0_imagenet/README.md b/modules/image/classification/efficientnetb0_imagenet/README.md
index 686cc3798223e7c9e3c3dd1a55b68e2daa5f5857..a1013ab01f121c264517ecdd7ca0bbe055fcea0f 100644
--- a/modules/image/classification/efficientnetb0_imagenet/README.md
+++ b/modules/image/classification/efficientnetb0_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb0_small_imagenet/README.md b/modules/image/classification/efficientnetb0_small_imagenet/README.md
index a0ebafbd7b60cf5355ce241b1672f715d3c9d570..be464cc8ca77aedea64a199449d2d34e9db18eb4 100644
--- a/modules/image/classification/efficientnetb0_small_imagenet/README.md
+++ b/modules/image/classification/efficientnetb0_small_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb1_imagenet/README.md b/modules/image/classification/efficientnetb1_imagenet/README.md
index d9277243ec0aaa07e59c4fada0ad34a5759e85b3..fe5981ece4560d811de6953db1b18ea00bee62c5 100644
--- a/modules/image/classification/efficientnetb1_imagenet/README.md
+++ b/modules/image/classification/efficientnetb1_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb2_imagenet/README.md b/modules/image/classification/efficientnetb2_imagenet/README.md
index 3c7a27ffe8fe16051aafebe5853825e9d19bad1c..3972b35e11309354a24787a0167ea450bc6891b7 100644
--- a/modules/image/classification/efficientnetb2_imagenet/README.md
+++ b/modules/image/classification/efficientnetb2_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb3_imagenet/README.md b/modules/image/classification/efficientnetb3_imagenet/README.md
index 38ec5a8ca5ce15274153e09f95058437e537abfa..3bb6273921e6cce4c3210736b0eeb4b1c264f53c 100644
--- a/modules/image/classification/efficientnetb3_imagenet/README.md
+++ b/modules/image/classification/efficientnetb3_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb4_imagenet/README.md b/modules/image/classification/efficientnetb4_imagenet/README.md
index 23dcab7b65322ab4b68617e88f94480010973059..1a7d0e9baf4a7e8503c3e7f7b9fdec32fdac52d9 100644
--- a/modules/image/classification/efficientnetb4_imagenet/README.md
+++ b/modules/image/classification/efficientnetb4_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb5_imagenet/README.md b/modules/image/classification/efficientnetb5_imagenet/README.md
index f68cf9cd941e071a32bb35cc14c3818097fe1d63..3c8a4bc373f02cf773cfe4a742c86c3025774361 100644
--- a/modules/image/classification/efficientnetb5_imagenet/README.md
+++ b/modules/image/classification/efficientnetb5_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb6_imagenet/README.md b/modules/image/classification/efficientnetb6_imagenet/README.md
index 962b39311018bf1e474210e219dfd0688c03441e..746ff1a711556429a03625db0f959146fbae3331 100644
--- a/modules/image/classification/efficientnetb6_imagenet/README.md
+++ b/modules/image/classification/efficientnetb6_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/efficientnetb7_imagenet/README.md b/modules/image/classification/efficientnetb7_imagenet/README.md
index 3e69b710b27483178a1c3dc59eb44abbee4ba574..bef07051b9390f2416748df89041d60ef9290d32 100644
--- a/modules/image/classification/efficientnetb7_imagenet/README.md
+++ b/modules/image/classification/efficientnetb7_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/fix_resnext101_32x48d_wsl_imagenet/README.md b/modules/image/classification/fix_resnext101_32x48d_wsl_imagenet/README.md
index 84da5a7deb684a7a1339a1011d4176bfa07a6768..ef750cec4941fb598296ccc9308f8261862d0c70 100644
--- a/modules/image/classification/fix_resnext101_32x48d_wsl_imagenet/README.md
+++ b/modules/image/classification/fix_resnext101_32x48d_wsl_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/food_classification/README.md b/modules/image/classification/food_classification/README.md
index f21e57aa937e7b63595165d33ea28321005b5647..01f910138e18aee8c45d1a2f56f493d547988d50 100644
--- a/modules/image/classification/food_classification/README.md
+++ b/modules/image/classification/food_classification/README.md
@@ -47,7 +47,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/googlenet_imagenet/README.md b/modules/image/classification/googlenet_imagenet/README.md
index 1c96db9c27bc43e32b873ef213a3aac69a105d0f..7dec0850aea31f81e2488829ea20d7e80a8f6c3d 100644
--- a/modules/image/classification/googlenet_imagenet/README.md
+++ b/modules/image/classification/googlenet_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/inception_v4_imagenet/README.md b/modules/image/classification/inception_v4_imagenet/README.md
index 615368ae8cf96992bb0a3d60527994f9f41cc61c..ca8d613ee382e526ab8b75c1a502639e8c0fec40 100644
--- a/modules/image/classification/inception_v4_imagenet/README.md
+++ b/modules/image/classification/inception_v4_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/marine_biometrics/README.md b/modules/image/classification/marine_biometrics/README.md
index 094dc5c9ba11cea8e0a5344950ff7e21ac1d9025..797288aee8ce47c102dc0bf2973bd57fa8d473d1 100644
--- a/modules/image/classification/marine_biometrics/README.md
+++ b/modules/image/classification/marine_biometrics/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/mobilenet_v2_animals/README.md b/modules/image/classification/mobilenet_v2_animals/README.md
index b7c4468cdc046d0a094a36bee8d4627903097b9a..e1ba58dcdce89cfc89cf33108716e903d6458d54 100644
--- a/modules/image/classification/mobilenet_v2_animals/README.md
+++ b/modules/image/classification/mobilenet_v2_animals/README.md
@@ -47,7 +47,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/mobilenet_v2_dishes/README.md b/modules/image/classification/mobilenet_v2_dishes/README.md
index 6006ab76ae9e703b74fa4c320b8d7b6db48e4a5e..aad927459be227f693f107e47e61655a934ce95b 100644
--- a/modules/image/classification/mobilenet_v2_dishes/README.md
+++ b/modules/image/classification/mobilenet_v2_dishes/README.md
@@ -51,7 +51,7 @@
     ```
   - 通过命令行方式实现菜品分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/mobilenet_v2_imagenet/README.md b/modules/image/classification/mobilenet_v2_imagenet/README.md
index f26d17822aa1c7e55c3ed601cdb15440028e4592..7b9bb0f7e5a0bcfcab35910ad88189e5bce756b3 100644
--- a/modules/image/classification/mobilenet_v2_imagenet/README.md
+++ b/modules/image/classification/mobilenet_v2_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/mobilenet_v2_imagenet_ssld/README.md b/modules/image/classification/mobilenet_v2_imagenet_ssld/README.md
index b10327436f704f51879c05497dcc887652d26a62..4529275acdfd69eb40ff4f1133adde685aef7014 100644
--- a/modules/image/classification/mobilenet_v2_imagenet_ssld/README.md
+++ b/modules/image/classification/mobilenet_v2_imagenet_ssld/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/mobilenet_v3_large_imagenet_ssld/README.md b/modules/image/classification/mobilenet_v3_large_imagenet_ssld/README.md
index 27fb2f510c3483e84d07aac1c913564b99551272..03cf9d75fd085c41addccf1758b04151ffccf76e 100644
--- a/modules/image/classification/mobilenet_v3_large_imagenet_ssld/README.md
+++ b/modules/image/classification/mobilenet_v3_large_imagenet_ssld/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/mobilenet_v3_small_imagenet_ssld/README.md b/modules/image/classification/mobilenet_v3_small_imagenet_ssld/README.md
index 5892118332320fc972ef4e68206d434baba535d0..bdcd475885d3ac0b8181978af50a3d0ead7fcaf7 100644
--- a/modules/image/classification/mobilenet_v3_small_imagenet_ssld/README.md
+++ b/modules/image/classification/mobilenet_v3_small_imagenet_ssld/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/nasnet_imagenet/README.md b/modules/image/classification/nasnet_imagenet/README.md
index 973cc22762eae0a2356412b41fc33b981a806896..b9ca44eb5114e65433ecb398ba2acedc6634d5c7 100644
--- a/modules/image/classification/nasnet_imagenet/README.md
+++ b/modules/image/classification/nasnet_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/pnasnet_imagenet/README.md b/modules/image/classification/pnasnet_imagenet/README.md
index c4a981cc2e7484fa57f418c5e3f7dfe315dc1561..e87ff0721634bb6613bcac1b4a42035ff4fe1b55 100644
--- a/modules/image/classification/pnasnet_imagenet/README.md
+++ b/modules/image/classification/pnasnet_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/res2net101_vd_26w_4s_imagenet/README.md b/modules/image/classification/res2net101_vd_26w_4s_imagenet/README.md
index 6c3f6347bede5bb5ef6f0736bfd2f8bcfa067af7..75f10a97f1e175b3df1dd60fb957f7133073108f 100644
--- a/modules/image/classification/res2net101_vd_26w_4s_imagenet/README.md
+++ b/modules/image/classification/res2net101_vd_26w_4s_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet18_vd_imagenet/README.md b/modules/image/classification/resnet18_vd_imagenet/README.md
index 26e65cb35cbf9257bf4f7c6fbb57f653f60905b0..a84af151bb181b7056235dc5c9c1e45450423e47 100644
--- a/modules/image/classification/resnet18_vd_imagenet/README.md
+++ b/modules/image/classification/resnet18_vd_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet50_vd_10w/README.md b/modules/image/classification/resnet50_vd_10w/README.md
index e9aaed1a3046a7a9ad62241307b0f93a0f462a54..35b736abf8bc9eabdc7cfa74e53c8dfab5a7aeb9 100644
--- a/modules/image/classification/resnet50_vd_10w/README.md
+++ b/modules/image/classification/resnet50_vd_10w/README.md
@@ -39,7 +39,7 @@
 
 ## 三、模型API预测
 
-- ### 1、预测预测代码示例
+- ### 1、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet50_vd_dishes/README.md b/modules/image/classification/resnet50_vd_dishes/README.md
index bbb051025de5f9310b7df1a1ed358cb87103c3e6..c5108d3d2ec69ba4af4c7c9085f948460417cfb7 100644
--- a/modules/image/classification/resnet50_vd_dishes/README.md
+++ b/modules/image/classification/resnet50_vd_dishes/README.md
@@ -51,7 +51,7 @@
     ```
   - 通过命令行方式实现菜品分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet50_vd_wildanimals/README.md b/modules/image/classification/resnet50_vd_wildanimals/README.md
index e901ea45aac4cb2c15d7252ab69f9a3d85e8c011..d857c89b70156dda3891da0994336ca7d5f801fc 100644
--- a/modules/image/classification/resnet50_vd_wildanimals/README.md
+++ b/modules/image/classification/resnet50_vd_wildanimals/README.md
@@ -47,7 +47,7 @@
     ```
   - 通过命令行方式实现分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet_v2_101_imagenet/README.md b/modules/image/classification/resnet_v2_101_imagenet/README.md
index 2f8f991c5afef8b1e410837be1446b4e6436bba1..8533fb4b21496e17eef80ccd2b486f5ff2076a99 100644
--- a/modules/image/classification/resnet_v2_101_imagenet/README.md
+++ b/modules/image/classification/resnet_v2_101_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet_v2_152_imagenet/README.md b/modules/image/classification/resnet_v2_152_imagenet/README.md
index 8a1e87d36b212b5c3df38cfb36f623cb49d743a5..f849e95ed6e3cc5910f70321ceaba467702e3447 100644
--- a/modules/image/classification/resnet_v2_152_imagenet/README.md
+++ b/modules/image/classification/resnet_v2_152_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet_v2_18_imagenet/README.md b/modules/image/classification/resnet_v2_18_imagenet/README.md
index 89761c809f8fca22d7b9bdc15b0d5b5fd8c47e5e..23a83f47686c1b76a5b49fd487b954d5102b8b44 100644
--- a/modules/image/classification/resnet_v2_18_imagenet/README.md
+++ b/modules/image/classification/resnet_v2_18_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet_v2_34_imagenet/README.md b/modules/image/classification/resnet_v2_34_imagenet/README.md
index 36f294ce3689dea467825a2ec3f35e9995c82cb9..d8752ec5d46ad8e0f1931072ebde00beea8b6843 100644
--- a/modules/image/classification/resnet_v2_34_imagenet/README.md
+++ b/modules/image/classification/resnet_v2_34_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnet_v2_50_imagenet/README.md b/modules/image/classification/resnet_v2_50_imagenet/README.md
index 6796cc520466521319e55be8ee26e7df3c55f748..3963bd759ccfe6d651582401276ab580d552cbfc 100644
--- a/modules/image/classification/resnet_v2_50_imagenet/README.md
+++ b/modules/image/classification/resnet_v2_50_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_32x16d_wsl/README.md b/modules/image/classification/resnext101_32x16d_wsl/README.md
index 586fc1a398c871e56f80558cae4172e724844469..7b6501be1e191f25ca7c85dc418ab61b05e70095 100644
--- a/modules/image/classification/resnext101_32x16d_wsl/README.md
+++ b/modules/image/classification/resnext101_32x16d_wsl/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_32x32d_wsl/README.md b/modules/image/classification/resnext101_32x32d_wsl/README.md
index 404dbfdf8bc6fb480441820ed2db109d1925a254..f3f37f3d4be0260831cfc96c7052a00199b698af 100644
--- a/modules/image/classification/resnext101_32x32d_wsl/README.md
+++ b/modules/image/classification/resnext101_32x32d_wsl/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_32x48d_wsl/README.md b/modules/image/classification/resnext101_32x48d_wsl/README.md
index 414940b829d1bac525aabd1412fb49e2bd204788..24603e39ac1ac93c065ea35a25a6ad6c69959750 100644
--- a/modules/image/classification/resnext101_32x48d_wsl/README.md
+++ b/modules/image/classification/resnext101_32x48d_wsl/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_32x4d_imagenet/README.md b/modules/image/classification/resnext101_32x4d_imagenet/README.md
index efe13d6255b6e034016b96f1b624f04e0dcedb0a..60a0e27f7431ed79619a65f7fb91075b54eee2b3 100644
--- a/modules/image/classification/resnext101_32x4d_imagenet/README.md
+++ b/modules/image/classification/resnext101_32x4d_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_32x8d_wsl/README.md b/modules/image/classification/resnext101_32x8d_wsl/README.md
index 733b4928782ea0da282b622eeef61f41fadaf31f..94f8491dc53bd9905bcb163b84839ba3fc309527 100644
--- a/modules/image/classification/resnext101_32x8d_wsl/README.md
+++ b/modules/image/classification/resnext101_32x8d_wsl/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_64x4d_imagenet/README.md b/modules/image/classification/resnext101_64x4d_imagenet/README.md
index 52020f6303a564e68c2505cf6575182d4b42c701..588f2dbabc6bba44e290ec1fc75ed1a75dcf22ec 100644
--- a/modules/image/classification/resnext101_64x4d_imagenet/README.md
+++ b/modules/image/classification/resnext101_64x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_vd_32x4d_imagenet/README.md b/modules/image/classification/resnext101_vd_32x4d_imagenet/README.md
index 0ea51384c4a09b451c3712c38e10eee54d887bbb..7c21889b7429f2b1cbd8dd42d0abea640a6519bd 100644
--- a/modules/image/classification/resnext101_vd_32x4d_imagenet/README.md
+++ b/modules/image/classification/resnext101_vd_32x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext101_vd_64x4d_imagenet/README.md b/modules/image/classification/resnext101_vd_64x4d_imagenet/README.md
index 8d862e8c15ed2806414f4f6f6798e9b51aabb41e..b6d6c5c025cb98164f3797b9c4e4e7fa4e192b2c 100644
--- a/modules/image/classification/resnext101_vd_64x4d_imagenet/README.md
+++ b/modules/image/classification/resnext101_vd_64x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext152_32x4d_imagenet/README.md b/modules/image/classification/resnext152_32x4d_imagenet/README.md
index e2f175d1afa6ec66b72f62eba15593c75c3a9457..d748c6d52cba08259034b6cb68125d4574d8179f 100644
--- a/modules/image/classification/resnext152_32x4d_imagenet/README.md
+++ b/modules/image/classification/resnext152_32x4d_imagenet/README.md
@@ -46,7 +46,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext152_64x4d_imagenet/README.md b/modules/image/classification/resnext152_64x4d_imagenet/README.md
index 32990a1299efddd7f0bc0ad2eef0187b94a0ca52..43508a2fedf83dc465fa1e30f526a9274237c2a1 100644
--- a/modules/image/classification/resnext152_64x4d_imagenet/README.md
+++ b/modules/image/classification/resnext152_64x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext152_vd_64x4d_imagenet/README.md b/modules/image/classification/resnext152_vd_64x4d_imagenet/README.md
index 50ffa4c2274394f183332b1abaf7b1482420a0f5..537dae7832d4786b2139b686e8cfc243eb9b5be0 100644
--- a/modules/image/classification/resnext152_vd_64x4d_imagenet/README.md
+++ b/modules/image/classification/resnext152_vd_64x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext50_32x4d_imagenet/README.md b/modules/image/classification/resnext50_32x4d_imagenet/README.md
index 2422b1d25eb175b30ad650ca22eed0f4d4a9d799..474bd4cac3c96f9d13e9eacb9872c8b72e4eaf90 100644
--- a/modules/image/classification/resnext50_32x4d_imagenet/README.md
+++ b/modules/image/classification/resnext50_32x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext50_64x4d_imagenet/README.md b/modules/image/classification/resnext50_64x4d_imagenet/README.md
index 3ad585bf2f14bec9555553c273819d1d701ecd86..740c56812597a911dfb4b21b9bacf1c6852e16ba 100644
--- a/modules/image/classification/resnext50_64x4d_imagenet/README.md
+++ b/modules/image/classification/resnext50_64x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext50_vd_32x4d_imagenet/README.md b/modules/image/classification/resnext50_vd_32x4d_imagenet/README.md
index 7eea5454f7e3c6dfda04fb536249df89526ad4db..02e3585777c743ebaeebf90228455a32ae20c827 100644
--- a/modules/image/classification/resnext50_vd_32x4d_imagenet/README.md
+++ b/modules/image/classification/resnext50_vd_32x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/resnext50_vd_64x4d_imagenet/README.md b/modules/image/classification/resnext50_vd_64x4d_imagenet/README.md
index 5df32a4b449df0c6390767e24a186d3d5a8320f2..5b473b5c869ada3001d01b3cb8a8cf0a3e3adc11 100644
--- a/modules/image/classification/resnext50_vd_64x4d_imagenet/README.md
+++ b/modules/image/classification/resnext50_vd_64x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/se_resnet18_vd_imagenet/README.md b/modules/image/classification/se_resnet18_vd_imagenet/README.md
index dab704a52d6d205a52ea924309fbdfefd09c4370..b1c11fed0f84cd73fcda65dc928e2405676b725b 100644
--- a/modules/image/classification/se_resnet18_vd_imagenet/README.md
+++ b/modules/image/classification/se_resnet18_vd_imagenet/README.md
@@ -84,7 +84,7 @@ def save_inference_model(dirname,
 * params\_filename: 参数文件名称，默认为\_\_params\_\_(仅当`combined`为True时生效)
 * combined: 是否将参数保存到统一的一个文件中
 
-## 预测预测代码示例
+## 预测代码示例
 
 ```python
 import paddlehub as hub
diff --git a/modules/image/classification/se_resnext101_32x4d_imagenet/README.md b/modules/image/classification/se_resnext101_32x4d_imagenet/README.md
index 821cf5f9ed9998324d03f246a97e0e3bf4661b5d..1f2ac07a5a923e6634f70446816a6aa22516dab0 100644
--- a/modules/image/classification/se_resnext101_32x4d_imagenet/README.md
+++ b/modules/image/classification/se_resnext101_32x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/se_resnext50_32x4d_imagenet/README.md b/modules/image/classification/se_resnext50_32x4d_imagenet/README.md
index b109c24b9af0fae7347790f285813a878a15dcbe..05c4020f3ac5257c4324da1b4c6eeb167c522f2a 100644
--- a/modules/image/classification/se_resnext50_32x4d_imagenet/README.md
+++ b/modules/image/classification/se_resnext50_32x4d_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/shufflenet_v2_imagenet/README.md b/modules/image/classification/shufflenet_v2_imagenet/README.md
index e191df6981bd9481585fa8e48b75922d51343f12..3e372c9600c8c2ebf017a5cfb7d8e6c5baf55df6 100644
--- a/modules/image/classification/shufflenet_v2_imagenet/README.md
+++ b/modules/image/classification/shufflenet_v2_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/spinalnet_res101_gemstone/README.md b/modules/image/classification/spinalnet_res101_gemstone/README.md
index c323002154843db478ac2711a0d0d0db006e7cb1..bd785bda5c4deffdecdf0292d3ff7e6965b15ff5 100644
--- a/modules/image/classification/spinalnet_res101_gemstone/README.md
+++ b/modules/image/classification/spinalnet_res101_gemstone/README.md
@@ -44,7 +44,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/spinalnet_res50_gemstone/README.md b/modules/image/classification/spinalnet_res50_gemstone/README.md
index 8bfa38602ae8b662f2126438e6b4d7a5d251a13c..ed97788f71ae95deebe9fd3ec83d2f08bb6bd56f 100644
--- a/modules/image/classification/spinalnet_res50_gemstone/README.md
+++ b/modules/image/classification/spinalnet_res50_gemstone/README.md
@@ -44,7 +44,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/spinalnet_vgg16_gemstone/README.md b/modules/image/classification/spinalnet_vgg16_gemstone/README.md
index fa0feca170aca7c0057e42721e6ef735adebf51e..34de23e6766539360c28826fbe3f7e3528a15b55 100644
--- a/modules/image/classification/spinalnet_vgg16_gemstone/README.md
+++ b/modules/image/classification/spinalnet_vgg16_gemstone/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/vgg11_imagenet/README.md b/modules/image/classification/vgg11_imagenet/README.md
index c1238b54f2d9df41eff05ec6bb5d6245de47b1ae..2905883511483c62b3a94907c21aa87994500a19 100644
--- a/modules/image/classification/vgg11_imagenet/README.md
+++ b/modules/image/classification/vgg11_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/vgg13_imagenet/README.md b/modules/image/classification/vgg13_imagenet/README.md
index c1952ae62bf3153ad8b0d794a969e7d540afc54c..2f967b7f19bec47d6b5695fbaccae6086a98cee7 100644
--- a/modules/image/classification/vgg13_imagenet/README.md
+++ b/modules/image/classification/vgg13_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/vgg16_imagenet/README.md b/modules/image/classification/vgg16_imagenet/README.md
index 98322a083e6f1fe44d151face1d94a50a04a9da9..14186cec20232f3d9562620bd1b062082f004b78 100644
--- a/modules/image/classification/vgg16_imagenet/README.md
+++ b/modules/image/classification/vgg16_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/vgg19_imagenet/README.md b/modules/image/classification/vgg19_imagenet/README.md
index f3da4b3ac5660ab4d08cd2225627faff737d00c7..3ecf4e2bff64c4558c68dc89688cab18748313bb 100644
--- a/modules/image/classification/vgg19_imagenet/README.md
+++ b/modules/image/classification/vgg19_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/xception41_imagenet/README.md b/modules/image/classification/xception41_imagenet/README.md
index b265e2becb02189ee61db567f2d56552203d5257..a5ad52074a0527fe580f2c4f6870fd49af530cb6 100644
--- a/modules/image/classification/xception41_imagenet/README.md
+++ b/modules/image/classification/xception41_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/xception65_imagenet/README.md b/modules/image/classification/xception65_imagenet/README.md
index 89b41d91d3932a5372f27fb8514b493667b2461e..1be8b866e1857f1d3f483baa0d7e54a964452e59 100644
--- a/modules/image/classification/xception65_imagenet/README.md
+++ b/modules/image/classification/xception65_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub
diff --git a/modules/image/classification/xception71_imagenet/README.md b/modules/image/classification/xception71_imagenet/README.md
index 31492fcc8212c299d0066d6da8349860eeb0fe16..28f44f91615a709c2dea2d58485a3760c0ba1edd 100644
--- a/modules/image/classification/xception71_imagenet/README.md
+++ b/modules/image/classification/xception71_imagenet/README.md
@@ -45,7 +45,7 @@
     ```
   - 通过命令行方式实现图像分类模型的调用，更多请见 [PaddleHub命令行指令](../../../../docs/docs_ch/tutorial/cmd_usage.rst)
 
-- ### 2、预测预测代码示例
+- ### 2、预测代码示例
 
   - ```python
     import paddlehub as hub