Cargando…
Strip Surface Defect Detection Algorithm Based on YOLOv5
In order to improve the detection accuracy of the surface defect detection of industrial hot rolled strip steel, the advanced technology of deep learning is applied to the surface defect detection of strip steel. In this paper, we propose a framework for strip surface defect detection based on a con...
Autores principales: | Wang, Han, Yang, Xiuding, Zhou, Bei, Shi, Zhuohao, Zhan, Daohua, Huang, Renbin, Lin, Jian, Wu, Zhiheng, Long, Danfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096323/ https://www.ncbi.nlm.nih.gov/pubmed/37049103 http://dx.doi.org/10.3390/ma16072811 |
Ejemplares similares
-
Convolutional Neural Network Defect Detection Algorithm for Wire Bonding X-ray Images
por: Zhan, Daohua, et al.
Publicado: (2023) -
Strip steel surface defect detection based on lightweight YOLOv5
por: Zhang, Yongping, et al.
Publicado: (2023) -
ATNet: A Defect Detection Framework for X-ray Images of DIP Chip Lead Bonding
por: Huang, Renbin, et al.
Publicado: (2023) -
GRP-YOLOv5: An Improved Bearing Defect Detection Algorithm Based on YOLOv5
por: Zhao, Yue, et al.
Publicado: (2023) -
STMS-YOLOv5: A Lightweight Algorithm for Gear Surface Defect Detection
por: Yan, Rui, et al.
Publicado: (2023)