Personal protective equipment detection using YOLOv8 architecture on object detection benchmark datasets: a comparative study

Personal protective equipment detection using YOLOv8 architecture on object detection benchmark datasets: a comparative study

AbstractOver the past decade, global industrial and construction growth has underscored the importance of safety. Yet, accidents continue, often with dire outcomes, despite numerous safety-focused initiatives. Addressing this, this article introduces a novel approach using YOLOv8, a rapid object det...

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Bibliographic Details
Main Authors: Alibek Barlybayev, Nurzada Amangeldy, Bekbolat Kurmetbek, Iurii Krak, Bibigul Razakhova, Nazira Tursynova, Rakhila Turebayeva
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Engineering
Subjects:
PPE detection system
YOLOv8
image dataset
construction safety
object detection
computer vision
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2024.2333209

Internet

https://www.tandfonline.com/doi/10.1080/23311916.2024.2333209

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