OAD-YOLOv8n: A Lightweight Direction-Adaptive Framework for Steel Strip Surface Defect Detection
Steel strip surface defect detection remains challenging because defects are often elongated, weakly bounded, low-contrast, and sensitive to imaging degradation. To address these issues, this paper proposes Orthogonal Direction-Adaptive YOLOv8n (OAD-YOLOv8n), a lightweight detector based on You Only...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2026-06-01
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| Серии: | Metals |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2075-4701/16/6/666 |
| Метки: |
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