Update pages/4_Image Augmentation.py

pages/4_Image Augmentation.py

@@ -10,10 +10,10 @@ st.title(":red[Image Data Augmentation ]")
 
 # Explanation of Image Augmentation
 st.write("""
-## What is Image Augmentation?
+## :blue[What is Image Augmentation]?
 Image augmentation refers to a set of techniques used to increase the diversity of training images available for a machine learning model without actually collecting new images. It's commonly used in computer vision tasks to improve the performance of models by making them more robust to variations in the data.
 
-### Common Types of Image Augmentation:
+### :blue[Common Types of Image Augmentation]:
  **Flipping**: Horizontally or vertically flipping an image.\n
  **Rotation**: Rotating the image by a certain angle.\n
  **Scaling**: Zooming in or out on the image.\n