diff --git a/model_zoo/official/cv/yolov5/README.md b/model_zoo/official/cv/yolov5/README.md
index 25bd5dfe2ea..e320eb49579 100644
--- a/model_zoo/official/cv/yolov5/README.md
+++ b/model_zoo/official/cv/yolov5/README.md
@@ -73,8 +73,8 @@ other datasets need to use the same format as MS COCO.
 - Framework
     - [MindSpore](https://www.mindspore.cn/)
 - For more information, please check the resources below：
-    - [MindSpore tutorials](https://www.mindspore.cn/tutorial/zh-CN/master/index.html)
-    - [MindSpore API](https://www.mindspore.cn/api/zh-CN/master/index.html)
+    - [MindSpore Tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html)
+    - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)
 
 # [Quick Start](#contents)
 
diff --git a/model_zoo/research/cv/SE-Net/README.md b/model_zoo/research/cv/SE-Net/README.md
index f0acb4971e7..b33da92531a 100644
--- a/model_zoo/research/cv/SE-Net/README.md
+++ b/model_zoo/research/cv/SE-Net/README.md
@@ -219,7 +219,7 @@ result: {'top_5_accuracy': 0.9385269007731959, 'top_1_accuracy': 0.7774645618556
 | Total time                 | # mins                                                  |
 | Parameters (M)             | 285M                                                     |
 | Checkpoint for Fine tuning | # M (.ckpt file)                                         |
-| Scripts                    | [Link](https://gitee.com/mindspore/mindspore/tree/lemon/model_zoo/research/cv/SE-Net) |
+| Scripts                    | <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/SE-Net> |
 
 ### Inference Performance
 
diff --git a/model_zoo/research/cv/ssd_mobilenetV2/README.md b/model_zoo/research/cv/ssd_mobilenetV2/README.md
index c4480be3dd6..e4dbc7a48ea 100644
--- a/model_zoo/research/cv/ssd_mobilenetV2/README.md
+++ b/model_zoo/research/cv/ssd_mobilenetV2/README.md
@@ -300,20 +300,20 @@ mAP: 0.2527925497483538
 | Loss Function       | Sigmoid Cross Entropy,SmoothL1Loss   |
 | Speed               | 8pcs: 80ms/step  |
 | Total time          | 8pcs: 4.67hours      |
-| Scripts             | <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/SSD_mobielnetV2> |
+| Scripts             | <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ssd_mobilenetV2> |
 
 #### Inference Performance
 
 | Parameters          | Ascend                      |
 | ------------------- | --------------------------- |
-| Model Version       | SSD mobilenetV2                      |
+| Model Version       | SSD mobilenetV2             |
 | Resource            | Ascend 910                  |
 | Uploaded Date       | 03/12/2021 (month/day/year) |
 | MindSpore Version   | 1.1.1                       |
 | Dataset             | COCO2017                    |
 | batch_size          | 1                           |
 | outputs             | mAP                         |
-| Accuracy            | IoU=0.50: 25.28%             |
+| Accuracy            | IoU=0.50: 25.28%            |
 
 ## [Description of Random Situation](#contents)
 
diff --git a/model_zoo/research/cv/ssd_mobilenetV2_FPNlite/README.md b/model_zoo/research/cv/ssd_mobilenetV2_FPNlite/README.md
index 4f5d3cc312c..c3fedf38bb3 100644
--- a/model_zoo/research/cv/ssd_mobilenetV2_FPNlite/README.md
+++ b/model_zoo/research/cv/ssd_mobilenetV2_FPNlite/README.md
@@ -304,7 +304,7 @@ mAP: 0.23368420287379554
 | Loss Function       | Sigmoid Cross Entropy,SmoothL1Loss   |
 | Speed               | 8pcs: 130ms/step  |
 | Total time          | 8pcs: 8.2hours      |
-| Scripts             | <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/SSD_mobielnetV2_FPNlite> |
+| Scripts             | <https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/ssd_mobilenetV2_FPNlite> |
 
 #### Inference Performance