Steel surface defect detection method based on improved YOLOv9
Abstract With the development of industrial automation and intelligent manufacturing, steel surface defect detection has become a critical step in ensuring product quality and production efficiency. However, the diverse types and significant size variations of defects on steel surfaces pose great ch...
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| Principais autores: | , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Nature Portfolio
2025-07-01
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| 叢編: | Scientific Reports |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1038/s41598-025-10647-1 |
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