Research on steel surface defect classification method based on deep learning
Abstract Surface defects on steel, arising from factors like steel composition and manufacturing techniques, pose significant challenges to industrial production. Efficient and precise detection of these defects is crucial for enhancing production efficiency and product quality. In accordance with t...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-04-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-58643-1 |