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---
license: mit
language:
- en
---
# AlexNetWildFire for Wildfire Classification
## Model Details
- **Model Architecture:** AlexNet (Modified)
- **Framework:** PyTorch
- **Input Shape:** 3-channel RGB images
- **Number of Parameters:** ~ (Based on AlexNet)
- **Output:** Binary classification (wildfire presence)
## Model Description
This model is a **fine-tuned AlexNet** for wildfire classification. The pretrained **AlexNet** 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 | 0.2161 | 0.2249 |
| 2 | 0.1158 | 0.3618 |
| 3 | 0.1004 | 0.3120 |
| 4 | 0.0213 | 0.3541 |
| 5 | 0.0299 | 0.2749 |
| 6 | 0.0326 | 0.2352 |
| 7 | 0.0032 | 0.2222 |
| 8 | 0.0012 | 0.3360 |
| 9 | 0.0001 | 0.3072 |
| 10 | 0.0000 | 0.2819 |
## License
This model is released under the **MIT License**.
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