Efficient pavement crack detection and classification using custom YOLOv7 model

• Main Authors: Ashraf, Arselan, Sophian, Ali, Shafie, Amir Akramin, Gunawan, Teddy Surya, Ismail, Norfarah Nadia, Bawono, Ali Aryo
• Format: Article
• Language: English; English
• Published: Institute of Advanced Engineering and Science (IAES) 2023
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/104453/2/104453_Efficient%20Pavement%20Crack%20Detection.pdf; http://irep.iium.edu.my/104453/3/104453_Efficient%20Pavement%20Crack%20Detection_Scopus.pdf; http://irep.iium.edu.my/104453/; http://section.iaesonline.com/index.php/IJEEI/article/view/4362
• Institution: Universiti Islam Antarabangsa Malaysia

It is crucial to detect and classify pavement cracks as part of maintaining road safety. The inspection process for identifying and classifying cracks manually is tedious, time-consuming, and potentially dangerous for inspectors. As a result, an efficient automated approach for detecting road cracks...