diff --git a/example/ssd_coco2017/README.md b/example/ssd_coco2017/README.md
index 7e78cdf9e3..bd43344b8b 100644
--- a/example/ssd_coco2017/README.md
+++ b/example/ssd_coco2017/README.md
@@ -13,7 +13,7 @@ SSD network based on MobileNetV2, with support for training and evaluation.
     We use coco2017 as training dataset in this example by default, and you can also use your own datasets.
 
     1. If coco dataset is used. **Select dataset to coco when run script.**
-        Download coco2017: [train2017](http://images.cocodataset.org/zips/train2017.zip), [val2017](http://images.cocodataset.org/zips/val2017.zip), [test2017](http://images.cocodataset.org/zips/test2017.zip), [annotations](http://images.cocodataset.org/annotations/annotations_trainval2017.zip). Install pycocotool.
+        Install Cython and pycocotool.
 
         ```
         pip install Cython
diff --git a/example/yolov3_coco2017/README.md b/example/yolov3_coco2017/README.md
index b35d22f4b3..5d5b36de08 100644
--- a/example/yolov3_coco2017/README.md
+++ b/example/yolov3_coco2017/README.md
@@ -12,7 +12,7 @@ YOLOv3 network based on ResNet-18, with support for training and evaluation.
 
     We use coco2017 as training dataset.
 
-    1. Download coco2017: [train2017](http://images.cocodataset.org/zips/train2017.zip), [val2017](http://images.cocodataset.org/zips/val2017.zip), [test2017](http://images.cocodataset.org/zips/test2017.zip), [annotations](http://images.cocodataset.org/annotations/annotations_trainval2017.zip). The directory structure is as follows:
+    1. The directory structure is as follows:
         > ```
         > .
         > ├── annotations  # annotation jsons