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Surface Defect Detection of Preform Based on Improved YOLOv5

This paper proposes a lightweight detection model based on machine vision, YOLOv5-GC, to improve the efficiency and accuracy of detecting and classifying surface defects in preforming materials. During this process, clear images of the entire surface are difficult to obtain due to the stickiness, hi...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Principais autores: Jiatong Hou, Bo You, Jiazhong Xu, Tao Wang, Moran Cao
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2023-07-01
סדרה:Applied Sciences
נושאים:
גישה מקוונת:https://www.mdpi.com/2076-3417/13/13/7860
תגים: הוספת תג
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