Beverage Identification Algorithm Based on Improved YOLOv4
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.
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