metadata
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
- 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