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,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2023-01-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/407956 |