Create README.md

README.md

@@ -1,14 +1,41 @@
 ---
-title: Image Blur DeepLearning
-emoji: 🏢
-colorFrom: gray
-colorTo: gray
+title: Image Blur Effects Demo
+emoji: 🏃
+colorFrom: blue
+colorTo: purple
 sdk: gradio
 sdk_version: 5.49.1
 app_file: app.py
 pinned: false
-license: mit
-short_description: 'Deep Learning Assignment: Image Blur Effects Demo'
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Image Blur Effects Demo
+
+This application demonstrates two types of blur effects using deep learning:
+
+## Features
+
+### 1. Gaussian Blur
+- Automatically detects people in the image using **NVIDIA SegFormer**
+- Applies Gaussian blur to the background
+- Keeps the person sharp and in focus
+- Adjustable blur intensity
+
+### 2. Lens Blur (Depth-Based)
+- Uses **Depth Anything V2** to estimate scene depth
+- Simulates camera lens bokeh effect
+- Close objects (foreground) stay sharp
+- Far objects (background) progressively blur
+- Adjustable focus threshold and blur intensity
+
+## Models Used
+- **Segmentation**: `nvidia/segformer-b0-finetuned-ade-512-512`
+- **Depth Estimation**: `depth-anything/Depth-Anything-V2-Base-hf`
+
+## Usage
+1. Upload an image
+2. Choose between Gaussian Blur or Lens Blur tab
+3. Adjust parameters using the sliders
+4. Click the apply button to see results
+
+All images are processed at 512×512 resolution for optimal performance.