diff --git a/README.md b/README.md
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+++ b/README.md
@@ -54,7 +54,7 @@ export CUDA_VISIBLE_DEVICES=0
 ### Evaluation
 1. Download the images of [WIDER FACE](http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/) and [FDDB](https://drive.google.com/open?id=17t4WULUDgZgiSy5kpCax4aooyPaz3GQH) to `$DSFD_ROOT/data/`.
 
-2. Download our DSFD model [微云](https://share.weiyun.com/567x0xQ) [google drive](https://drive.google.com/file/d/1WeXlNYsM6dMP3xQQELI-4gxhwKUQxc3-/view?usp=sharing) trained on WIDER FACE training set to `$DSFD_ROOT/weights/`.
+2. Download our DSFD weights [微云](https://share.weiyun.com/567x0xQ) [google drive](https://drive.google.com/file/d/1WeXlNYsM6dMP3xQQELI-4gxhwKUQxc3-/view?usp=sharing) trained on WIDER FACE training set to `$DSFD_ROOT/weights/`.
 
   
 3. Check out `./demo.py` on how to detect faces using the DSFD model and how to plot detection results.