An Enhanced YOLOv5-Based Algorithm for Metal Surface Defect Detection

An Enhanced YOLOv5-Based Algorithm for Metal Surface Defect Detection

The detection of surface defects in metal materials has been a challenging issue in the industrial domain. The existing algorithms for metal surface defect detection are limited to a few specific types of defects and exhibit low performance with detection of defects of varying scales. A novel detect...

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Bibliographic Details
Main Authors: Yaling Zhao, Hai Wang, Xiaoming Xie, Yongzheng Xie, Chunlai Yang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
metal surface
surface defect
YOLOv5
attention module
Online Access:https://www.mdpi.com/2076-3417/13/20/11473

Internet

https://www.mdpi.com/2076-3417/13/20/11473

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