An efficient and lightweight detection method for stranded elastic needle defects in complex industrial environments using VEE-YOLO
Abstract 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 netwo...
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Main Authors: | Qiaoqiao Xiong, Qipeng Chen, Saihong Tang, Yiting Li |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-025-85721-9 |
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