AMC‐YOLO: Improved YOLOv8‐based defect detection for cigarette packs

AMC‐YOLO: Improved YOLOv8‐based defect detection for cigarette packs

Abstract Defect detection in cigarette packaging is a crucial process for ensuring product quality meets industry standards within the tobacco manufacturing sector. Defect detection methods based on deep learning have significantly enhanced efficiency. However, challenges remain in addressing issues...

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Bibliographic Details
Main Authors: Peng Dong, Yongsheng Wang, Qianyuan Yu, Weihua Feng, Guohao Zong
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Image Processing
Subjects:
computer vision
object detection
product quality
Online Access:https://doi.org/10.1049/ipr2.13272
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