An efficient and lightweight detection method for stranded elastic needle defects in complex industrial environments using VEE-YOLO

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An efficient and lightweight detection method for stranded elastic needle defects in complex industrial environments using VEE-YOLO

Deep learning has achieved significant success in the field of defect detection; however, challenges remain in detecting small-sized, densely packed parts under complex working conditions, including occlusion and unstable lighting conditions. This paper introduces YOLOv8-n as the core network to pro...

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Bibliographic Details
Main Authors:	Qiaoqiao, Xiong, Qipeng, Chen, Saihong, Tang, Yiting, Li
Format:	Article
Language:	English English
Published:	Nature Research 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/120220/ http://psasir.upm.edu.my/id/eprint/120220/1/120220.pdf http://psasir.upm.edu.my/id/eprint/120220/2/120220.pdf

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