diff --git a/README.md b/README.md
index 3bba1c82..d44821f5 100755
--- a/README.md
+++ b/README.md
@@ -49,6 +49,7 @@ Run `detect.py` to apply trained weights to an image and visualize results, such
 ![Alt](https://github.com/ultralytics/yolov3/blob/master/data/zidane_result.jpg "inference example")
 
 # Pretrained Weights
+
 Download official YOLOv3 weights:
 
 **Darknet** format: 
@@ -59,7 +60,6 @@ Download official YOLOv3 weights:
 - https://storage.googleapis.com/ultralytics/yolov3.pt 
 - https://storage.googleapis.com/ultralytics/yolov3-tiny.pt 
 
-
 # Validation mAP
 
 Run `test.py` to validate the official YOLOv3 weights `weights/yolov3.weights` against the 5000 validation images. You should obtain a .584 mAP at `--img-size 416`, or .586 at `--img-size 608` using this repo, compared to .579 at 608 x 608 reported in darknet (https://arxiv.org/abs/1804.02767).