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---
title: Submission Template
emoji: 🔥
colorFrom: yellow
colorTo: green
sdk: docker
pinned: false
---
# Yolo V8 for smoke detection
## Model Description
This is a simple YOLO V8 model for the Frugal AI Challenge 2024, specifically for the smoke detection challenge.
### Intended Use
- **Primary intended uses**: First submission of a non-trivial model
- **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 detection tasks
## Training Data
The model the Pyro-SDIS Subset contains 33,636 images, including:
- 28,103 images with smoke
- 31,975 smoke instances
### Labels
0. Smoke
## Performance
### Metrics
- **Accuracy**: Still to estimate
- **Environmental Impact**:
- Emissions tracked in gCO2eq
- Energy consumption tracked in Wh
### Model Architecture
YOLO V8
## 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
- Not suitable for any real-world applications
## Ethical Considerations
- Environmental impact is tracked to promote awareness of AI's carbon footprint
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