Update Home.py

Home.py

@@ -6,27 +6,35 @@ st.header("What is Augmented Image")
 
 st.markdown(""" It is a techinque by using which we can apply a geometrical transform to create a **Augmented Image**
                 **Image Augmentation** is a technique used in computer vision and deep learning to artificially expand the size and diversity of a training dataset by applying various transformations to existing images. 
-                This helps improve the robustness and generalization ability of models, especially when the amount of labeled data is limited.
-                - Transformation are of two types:
-                1. Affine Transformation
-                2. Non-Affine Transformation.""")
+                This helps improve the robustness and generalization ability of models, especially when the amount of labeled data is limited.""")
+st.markdown("""
+- Transformation are of two types:
+1. Affine Transformation
+2. Non-Affine Transformation.
+""")
 
 st.header("🔁 Why Use Image Augmentation?")
 
-st.markdown(""" - **Prevents overfitting** by exposing the model to varied inputs.
-                - Improves generalization to unseen data.
-                - Simulates real-world variability (e.g., rotation, lighting changes, noise).""")
+st.markdown("""
+- **Prevents overfitting** by exposing the model to varied inputs.
+- Improves generalization to unseen data.
+- Simulates real-world variability (e.g., rotation, lighting changes, noise).
+""")
 
 st.header("🌀📐🔀 What is Affine Transformation")
 
-st.markdown(""" - Preserved parallelsim between the lines.
-                - Sometimes the angles are preserved.""")
+st.markdown(""" 
+- Preserved parallelsim between the lines.
+- Sometimes the angles are preserved.
+""")
 
 st.header(":red[Types Of Affine Transformation]")
 
-st.markdown(""" 1. Translation(Shifting)
-                2. Rotation
-                3. Fliping 
-                4. Scaling 
-                5. Cropping 
-                6. Shearing(Stretching) """)
+st.markdown(""" 
+1. Translation(Shifting)
+2. Rotation
+3. Fliping 
+4. Scaling 
+5. Cropping 
+6. Shearing(Stretching)
+""")