---
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
```