Road Damage Detection Using Yolov9-Based Imagery

Road Damage Detection Using Yolov9-Based Imagery

Road damage is one of the leading factors contributing to traffic accidents. Rapid identification and repair of damaged roads are crucial in road infrastructure management. This study aims to develop an effective method for detecting road damage, utilizing the YOLOv9 algorithm as a key component, su...

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Bibliographic Details
Main Authors: Febrian Akbar Azhari, Tatang Rohana, Kiki Ahmad Baihaqi, Ahmad Fauzi
Format: Article
Language:English
Published: LPPM ISB Atma Luhur 2025-05-01
Series:Jurnal Sisfokom
Subjects:
yolov9
road damage detection
cnn
deep learning
machine learning
Online Access:https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2377
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