---
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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