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Strip steel surface defect detection based on lightweight YOLOv5
Deep learning-based methods for detecting surface defects on strip steel have advanced detection capabilities, but there are still problems of target loss, false alarms, large computation, and imbalance between detection accuracy and detection speed. In order to achieve a good balance between detect...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582940/ https://www.ncbi.nlm.nih.gov/pubmed/37860791 http://dx.doi.org/10.3389/fnbot.2023.1263739 |