现代信息科技2024，Vol.8Issue(15)：36-41,6.DOI:10.19850/j.cnki.2096-4706.2024.15.008
基于改进YOLOv4的饮料识别算法
Beverage Identification Algorithm Based on Improved YOLOv4
摘要
Abstract
With the development of Deep Learning in the field of product identification,beverage as a common product,applying beverage recognition technology to self-service beverage cabinets has certain research significance and value.In order to reduce the misconduct of the beverage category due to similar characteristics,a beverage recognition algorithm based on improved YOLOv4 is proposed.By increasing the Channel Attention Mechanism between the residual modules of the basic network CSPDarknet53,the characteristic information of the beverage area is enhanced.The experimental results show that the mAP value of the improved YOLOv4 reaches 92.43%,which is about 1.74%higher than that before improvement,and the model has good practical application value.关键词
饮料识别/CSPDarknet53/YOLOv4/通道注意力机制Key words
beverage identification/CSPDarknet53/YOLOv4/Channel Attention Mechanism分类
信息技术与安全科学引用本文复制引用
沈薇,李红梅,陶苑,朱学玲..基于改进YOLOv4的饮料识别算法[J].现代信息科技,2024,8(15):36-41,6.基金项目
安徽省省级质量工程项目(2018mooc434,2020jxtd120,2020mooc188) （2018mooc434,2020jxtd120,2020mooc188）
安徽省大学生创新训练项目(S202212216038,S202212216023) （S202212216038,S202212216023）
