diff --git a/README.md b/README.md
index 2079d5c1..43cef431 100755
--- a/README.md
+++ b/README.md
@@ -24,17 +24,17 @@ Run `train.py` to begin training after downloading COCO data with `data/get_coco
 
 ## Image Augmentation
 
-`datasets.py` applies random augmentation to the input images in accordance with the following specifications. Augmentation is applied *only* during training, not during inference. Bounding boxes are automatically tracked and updated with the images. 416 x 416 examples pictured below.
+`datasets.py` applies random augmentation to the input images in accordance with the following specifications. Augmentation is applied **only** during training, not during inference. Bounding boxes are automatically tracked and updated with the images. 416 x 416 examples pictured below.
 
 Augmentation | Description
 --- | ---
-Translation |  +/- 20% vertical and horizontal
-Rotation |     +/- 5 degrees
-Skew |         +/- 3 degrees
-Scale |        +/- 20%
-Reflection |   50% probability left-right
-Saturation |   +/- 50%
-Intensity |    +/- 50%
+Translation | +/- 20% vertical and horizontal
+Rotation | +/- 5 degrees
+Shear | +/- 3 degrees vertical and horizontal
+Scale | +/- 20%
+Horizontal Reflection | 50% probability
+H**S**V Saturation | +/- 50%
+HS**V** Intensity | +/- 50%
 
 ![Alt](https://github.com/ultralytics/yolov3/blob/master/data/coco_augmentation_examples.jpg "coco image augmentation")