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---
license: mit
tags:
- vision
- image-segmentation
---
# SegFormer (b0-sized) model fine-tuned on FLAME
The model was trained for a deep learning project titled [Forest Fire Detection](https://github.com/millionhz/forest-fire-detection).
## Model Description
The model is intended to be used for fire detection through image segmentation.
The provided pretrained model was finetuned on the [FLAME](https://dx.doi.org/10.21227/qad6-r683) dataset for 3 epochs with a learning rate of 1e-3 and was able to score an IOU score of **0.745** on the test examples.
# How to use
Here is how to use this model to segment an image:
```python
from transformers import SegformerImageProcessor, SegformerForSemanticSegmentation
from PIL import Image
import requests
processor = AutoFeatureExtractor.from_pretrained("millionhz/segformer-b0-finetuned-flame")
model = SegformerForSemanticSegmentation.from_pretrained("millionhz/segformer-b0-finetuned-flame")
url = <add url here>
image = Image.open(requests.get(url, stream=True).raw)
inputs = feature_extractor(images=image, return_tensors="pt")
outputs = model(**inputs)
```
## License
The license for this model can be found [here](https://github.com/NVlabs/SegFormer/blob/master/LICENSE).
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