Vehicle Paint Defect Detection Method Based on YOLOv5s
This study aims to propose a vehicle paint detection method based on YOLOv5s to improve detection efficiency and accuracy.In order to adapt to the task of vehicle paint detection,a large-scale data set of vehicle paint is constructed,and it is marked and preprocessed in detail.The results show that the vehicle paint detection method based on YOLOv5s performs well in terms of accuracy and efficiency,and can quickly and accurately identify defects in vehicle paint,providing an efficient quality control tool for automobile manufacturers and maintenance factories.
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