A surface defect detection method of steel plate based on YOLOV3

A surface defect detection method of steel plate based on YOLOV3

At present, the steel plate surface defect detection technology based on machine vision and convolutional neural network (CNN) has achieved good results. However, these models are mostly two-stage methods, extracting features first and then classifying them, which is slow and inaccurate. Therefore,...

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Podrobná bibliografie
Hlavní autoři: G. Z. Ouyang, W. Y. Zhang
Médium: Článek
Jazyk:English
Vydáno: Croatian Metallurgical Society 2023-01-01
Edice:Metalurgija
Témata:
steel plate
cold rolling
surface defect detection
yolov3
deep learning
On-line přístup:https://hrcak.srce.hr/file/407956

Internet

https://hrcak.srce.hr/file/407956

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