Apple recognition based on improved YOLOv8

Yurong Yue; Lihui Pan; Dan Zhao; Jinfeng Li; Xuan Dong; Wei Shan

doi:10.1117/12.3031584

18 July 2024 Apple recognition based on improved YOLOv8

Yurong Yue, Lihui Pan, Dan Zhao, Jinfeng Li, Xuan Dong, Wei Shan

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available