An improved lightweight YOLOv11 algorithm for weld surface defect detection
Abstract Industrial welding often exhibits some essential problems, such as unclear defect characteristics and complex background information. However, the existing defect detection models have relatively high costs and may be weak in weld surface defect detection. To address the problem, this paper...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Nature Portfolio
2026-02-01
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| سلاسل: | Scientific Reports |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-026-41568-2 |
| الوسوم: |
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