Assessing the performance of YOLOv5, YOLOv6, and YOLOv7 in road defect detection and classification: a comparative study

• Main Authors: Mohd Yusof, Najiha 'Izzaty, Sophian, Ali, Mohd Zaki, Hasan Firdaus, Bawono, Ali Aryo, Embong, Abd Halim, Ashraf, Arselan
• Format: Article
• Language: English; English
• Published: Institute of Advanced Engineering and Science (IAES) 2024
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/108779/1/108779_Assessing%20the%20performance%20of%20YOLOv5.pdf; http://irep.iium.edu.my/108779/7/108779_Assessing%20the%20performance%20of%20YOLOv5_SCOPUS.pdf; http://irep.iium.edu.my/108779/; https://beei.org/index.php/EEI/article/view/6317

Road defect inspection is a crucial task in maintaining a good transportation infrastructure as road surface distress can impact user’s comfortability, reduce the lifetime of vehicles’ parts, and cause road casualties. In recent years, machine learning has been adapted widely in various fields, incl...