README.md

---
license: apache-2.0
datasets:
- jonathan-roberts1/Satellite-Images-of-Hurricane-Damage
tags:
- climate
---
# Model Card for fluffypotato/flooding-classifier

<!-- Provide a quick summary of what the model is/does. -->

This model is trained on a subset of `jonathan-roberts1/Satellite-Images-of-Hurricane-Damage?` and performs binary classification on satellite images into either damaged or not damaged.

The model was trained using PyTorch on Intel Developer Cloud using ipex optimization. Here is the Neural Network architecture:

```python
model.fc = nn.Sequential(
           nn.Linear(2048, 128),
           nn.ReLU(inplace=True),
            nn.Linear(128, 64),
           nn.ReLU(inplace=True),
           nn.Linear(64, 2))
```

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

Some use cases include emergency response and disaster detection.

## Bias, Risks, and Limitations

This model is limited in use as it only performs binary classification. Further extensions include adding more classes to the model or more diverse data to the model.