Surface Defect Detection Method of Wooden Spoon Based on Improved YOLOv5 Algorithm

Surface Defect Detection Method of Wooden Spoon Based on Improved YOLOv5 Algorithm

The available surface defect detection methods for disposable wooden spoons still involve screening with the naked eye. This detection method is not only inefficient but also accompanied by problems such as false detection and missed detection. Therefore, this paper proposes a detection method based...

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Bibliographic Details
Main Authors: Siqing Tian, Xiao Li, Xiaolin Fang, Xiaozhong Qi, Jichao Li
Format: Article
Language:English
Published: North Carolina State University 2023-11-01
Series:BioResources
Subjects:
deep learning
defect detection
yolov5
wooden spoon
Online Access:https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22874

Internet

https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22874

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