README.md

metadata

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