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18 July 2024 Apple recognition based on improved YOLOv8
Yurong Yue, Lihui Pan, Dan Zhao, Jinfeng Li, Xuan Dong, Wei Shan
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Proceedings Volume 13179, International Conference on Optics and Machine Vision (ICOMV 2024); 1317910 (2024) https://doi.org/10.1117/12.3031584
Event: International Conference on Optics and Machine Vision (ICOMV 2024), 2024, Nanchang, China
Abstract
Aiming at the problem of low intelligent detection accuracy of apple fruit, an improved YOLOv8 is proposed based on the original YOLOv8. The multi-head self-attention mechanism(MHSA)is introduced to improve the detection accuracy of the model and verified on the public Apple dataset. Compared with the original YOLOv8, mAP 0.5 increased by 1% and mAP 0.5:0.95 increased by 4.5%. Compared with the popular YOLOv5 and YOLOv7 algorithms, According to the experimental results that the mAP 0.5 obtained by this research algorithm is as high as 95.1 %,and the mAP 0.5:0.95 is as high as 54.3%,which is better than the comparison algorithm. It shows that the improved YOLOv8 has high precision and efficiency of apple positioning,and can serve the apple picking robot for picking.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yurong Yue, Lihui Pan, Dan Zhao, Jinfeng Li, Xuan Dong, and Wei Shan "Apple recognition based on improved YOLOv8", Proc. SPIE 13179, International Conference on Optics and Machine Vision (ICOMV 2024), 1317910 (18 July 2024); https://doi.org/10.1117/12.3031584
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KEYWORDS
Object detection
Feature extraction
Image processing algorithms and systems
Deep learning
Image processing
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