Evaluating YOLOv5s and YOLOv8s for Kitchen Fire Detection: A Comparative Analysis

Evaluating YOLOv5s and YOLOv8s for Kitchen Fire Detection: A Comparative Analysis

Accurate and timely detection of kitchen fires is crucial for enhancing safety and reducing potential damage. This paper discusses comparative analysis of two cutting-edge object detection models, YOLOv5s and YOLOv8s, focusing on each performance in the critical application of kitchen fire detectio...

Full description

Saved in:
Bibliographic Details
Main Authors: Norisza Dalila Ismail, Rizauddin Ramli, Mohd Nizam Ab Rahman
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2025-01-01
Series:Emitter: International Journal of Engineering Technology
Subjects:
Convolutional neural network
Deep learning
Kitchen fire detection
Performance metrics
YOLO
Online Access:http://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/882
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items