Update README.md

README.md

@@ -1,104 +1,10 @@
-# SentinelWatch
-
-Detect changes in Sentinel-2 satellite imagery using Vision Transformers. Upload before/after images and get instant change detection with automatic cloud masking.
-
-**Features:**
-- Cloud detection with confidence scoring
-- Change detection using Siamese ViT architecture  
-- Interactive web interface (Gradio)
-- Evaluation metrics (IoU, F1, Accuracy)
-
-## Project Structure
-
-```
-├── app.py                      # Gradio web interface
-├── requirements.txt            # Dependencies
-├── models/
-│   ├── cloud_detector.py      # Cloud detection model
-│   └── change_detector.py     # Change detection model
-├── utils/
-│   ├── preprocessing.py       # Image preprocessing
-│   ├── visualization.py       # Visualization utilities
-│   ├── evaluation.py          # Metrics
-│   └── metrics.py             # Advanced metrics
-├── examples/                   # Sample images
-│   ├── before/
-│   ├── after/
-│   └── ground_truth/
-└── notebooks/
-    └── fine_tune_vit.ipynb    # Fine-tuning tutorial
-```
-
-## Quick Start
-
-**Requirements:** Python 3.8+, CUDA 11.0+ (optional)
-
-1. **Clone and setup:**
-```bash
-cd Sentinel-Watch
-python -m venv venv
-source venv/bin/activate  
-pip install -r requirements.txt
-```
-
-2. **Run the app:**
-```bash
-python app.py
-```
-Opens at `http://localhost:7860`
-
-3. **(Optional) Download example data:**
-```bash
-python download_oscd.py
-```
-
-## Usage
-
-### Web Interface
-- **Cloud Detection Tab**: Upload image → detect clouds
-- **Change Detection Tab**: Upload before/after → detect changes  
-- **Examples Tab**: View pre-loaded results
-
-### Python API
-
-```python
-from models.cloud_detector import CloudDetector
-from models.change_detector import ChangeDetector
-import cv2
-
-before = cv2.imread("before.jpg")
-after = cv2.imread("after.jpg")
-before = cv2.cvtColor(before, cv2.COLOR_BGR2RGB)
-after = cv2.cvtColor(after, cv2.COLOR_BGR2RGB)
-
-cloud_detector = CloudDetector()
-change_detector = ChangeDetector()
-
-# Cloud detection
-cloud_mask, confidence = cloud_detector.detect_clouds(before)
-
-# Change detection
-change_mask, confidence = change_detector.detect_changes(before, after)
-```
-
-## Model Architecture
-
-**Cloud Detector:**
-- Vision Transformer (ViT-Base)
-- Input: 224×224 RGB images
-- Output: Binary cloud mask + confidence scores
-
-**Change Detector:**
-- Siamese ViT network
-- Compares before/after image patches
-- Output: Change mask + confidence map
-
-## Metrics
-
-- **IoU** (Intersection over Union)
-- **F1 Score**
-- **Accuracy, Precision, Recall**
-
-## License
-
-MIT License
+---
+title: SentinelWatch
+emoji: 🛰️
+colorFrom: gray
+colorTo: green
+sdk: gradio
+sdk_version: 4.0.0
+app_file: app.py
+pinned: false
+---