A Raisin Foreign Object Target Detection Method Based on Improved YOLOv8

During the drying and processing of raisins, the presence of foreign matter such as fruit stems, branches, stones, and plastics is a common issue. To address this, we propose an enhanced real-time detection approach leveraging an improved YOLOv8 model. This novel method integrates the multi-head sel...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Meng Ning, Hongrui Ma, Yuqian Wang, Liyang Cai, Yiliang Chen
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	raisins foreign object detection YOLOv8 computer vision
Online Access:	https://www.mdpi.com/2076-3417/14/16/7295