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---
title: Submission Template
emoji: 🔥
colorFrom: yellow
colorTo: green
sdk: docker
pinned: false
---
# Smoke fire detection
## Model Description
This is a yolo-based model for the Frugal AI Challenge 2025, specifically for the wildfire smoke detection
### Intended Use
- **Primary intended uses**: Detect fire smoke on photos of forests, in different natural settings
- **Primary intended users**: Researchers and developers participating in the Frugal AI Challenge
- **Out-of-scope use cases**: Not intended for production use or real-world classification tasks
## Training Data
The model uses the pyronear/pyro-sdis dataset:
- Size: ~33 600 examples
- Split: 88% train, 12% test
### Labels
0. Smoke
## Performance
### Metrics
- **Accuracy**: ~92
- **Environmental Impact**:
- Emissions tracked in gCO2eq 0.23
- Energy consumption tracked in Wh 3.5
### Model Architecture
YOLO 11
## Environmental Impact
Environmental impact is tracked using CodeCarbon, measuring:
- Carbon emissions during inference
- Energy consumption during inference
This tracking helps establish a baseline for the environmental impact of model deployment and inference.
## Limitations
- May require GPU
## Ethical Considerations
- Environmental impact is tracked to promote awareness of AI's carbon footprint
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