YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images

  Efficient identification of road defects is a critical concern for road safety and infrastructure upkeep. This research employs drone-captured imagery and advanced object detection algorithms to expedite defect recognition, with a specific focus on determining the optimal algorithm for prompt a...

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Detalhes bibliográficos

Principais autores:	Amit Hasan Sadhin, Siti Zaiton Mohd Hashim, Hussein Samma, Nurulaqilla Khamis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	University of Baghdad, College of Science for Women 2024-06-01
Colecção:	مجلة بغداد للعلوم
Assuntos:	Convolution Neural Network, YOLO, drone images, CSPDarknet, Input Size
Acesso em linha:	https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9027
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