Surface defect detection of steel based on improved YOLOv7 model

Surface defect detection of steel based on improved YOLOv7 model

In response to the inevitable surface defects in the manufacturing process of hot-rolled steel, this paper proposes an improved steel surface defect detection model based on YOLOv7. In the Extended Efficient Large Aggregation Network (E-ELAN), the model replaces conventional convolution with Omni-Di...

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Bibliographic Details
Main Authors: W. Z. Teng, Y. J. Zhang, H. G. Zhang, D. X. Gao
Format: Article
Language:English
Published: Croatian Metallurgical Society 2024-01-01
Series:Metalurgija
Subjects:
hot-rolled
steel
surface defect
YOLOv7 model
efficient decoupled detection head
Online Access:https://hrcak.srce.hr/file/456149

Internet

https://hrcak.srce.hr/file/456149

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