Intelligent Traffic Management: Comparative Evaluation of YOLOv3, YOLOv5, and YOLOv8 for Vehicle Detection in Urban Environments in Montería, Colombia

This study compares the performance of three YOLO-based object detection models—YOLOv3, YOLOv5, and YOLOv8—for vehicle detection and classification at an urban intersection in Montería, Colombia. Recordings from five consecutive days, spanning three time slots, were used, totaling approximately 135,...

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Hlavní autoři:	Darío Doria Usta, Ricardo Hundelshaussen, César López Martínez, João Felipe Coimbra Leite Costa, Diego Machado Marques
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-12-01
Edice:	Future Transportation
Témata:	YOLOv3 YOLOv5 YOLOv8 computer vision vehicle detection traffic congestion
On-line přístup:	https://www.mdpi.com/2673-7590/5/4/191
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