VGCQ/submission-template_test_for_submission_leaderboard

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

1. 1.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