Create README.md

README.md

@@ -0,0 +1,46 @@
+---
+license: mit
+---
+
+# VGGWildFireModel for Wildfire Classification
+
+## Model Details
+
+- **Model Architecture:** VGG-16 (Modified)  
+- **Framework:** PyTorch  
+- **Input Shape:** 3-channel RGB images  
+- **Number of Parameters:** ~ (Based on VGG-16)  
+- **Output:** Binary classification (wildfire presence)  
+
+## Model Description
+
+This model is a **fine-tuned VGG-16** for wildfire classification. The pretrained **VGG-16** backbone is used with its feature extractor **frozen**, while only the **final classification layer** is trained. The last fully connected layer has been replaced with a **single output neuron** for binary classification.
+
+## Training Details
+
+- **Optimizer:** Adam  
+- **Batch Size:** 32  
+- **Loss Function:** Binary Cross-Entropy  
+- **Number of Epochs:** 10  
+- **Dataset:** [Wildfire Detection Image Data](https://www.kaggle.com/datasets/brsdincer/wildfire-detection-image-data)  
+
+### Losses Per Epoch
+
+| Epoch | Training Loss | Validation Loss |
+|-------|--------------|----------------|
+| 1     | 0.2571       | 0.3858         |
+| 2     | 0.0846       | 0.1935         |
+| 3     | 0.0165       | 0.1573         |
+| 4     | 0.0013       | 0.1204         |
+| 5     | 0.0001       | 0.1243         |
+| 6     | 0.0000       | 0.1247         |
+| 7     | 0.0000       | 0.1244         |
+| 8     | 0.0000       | 0.1242         |
+| 9     | 0.0000       | 0.1240         |
+| 10    | 0.0000       | 0.1236         |
+
+## License
+
+This model is released under the **MIT License**.
+
+---