Corrugation and Squat Classification and Detection with VGG16 and YOLOv5 Neural Network Models
Railway track defects in Malaysia pose significant risks of train derailments and accidents, underscoring the urgency for early and accurate defect detection and classification. This study presents a novel approach utilizing deep learning models, VGG16 and YOLOv5, for detecting and classifying rail...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Joiv
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/12452/1/J17942_8b5dd786ec258acd58dea5dc6212157e.pdf http://eprints.uthm.edu.my/12452/ |
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