Update README.md

README.md

@@ -45,7 +45,7 @@ The data curation pipeline leading to the clean videos in the Surg-3M dataset is
 
 Usage
 --------
-**Video classification models** are employed in the step 2 of the data curation pipeline to classify a video storyboard as either surgical or non-surgical, the models usage is as follows:
+**Video classification models** are employed in the step **2** of the data curation pipeline to classify a video storyboard as either surgical or non-surgical, the models usage is as follows:
    ```python
    import torch
    from PIL import Image
@@ -72,7 +72,7 @@ Usage
    outputs = net(img_tensor)
    ```
 
-**Frame classification models** are used in the step 3 of the data curation pipeline to classify a frame as either surgical or non-surgical, the models usage is as follows:
+**Frame classification models** are used in the step **3** of the data curation pipeline to classify a frame as either surgical or non-surgical, the models usage is as follows:
 
    ```python
    import torch