Research on intelligent recognition model of cigarette product specifications based on improved YOLOv5
In order to achieve low-cost,convenient and intelligent identification of cigarette specifications in universities,reduce the time cost of customer managers inventorying inventory,and improve the efficiency of cigarette inventory counting,a cigarette specification recognition model is constructed by introducing coordinate attention mechanism on the basis of YOLOv5 model.A deep learning model with multiple hidden layers and multiple neural nodes is established to extract key features of cigarette appearance for the task of cigarette specification recognition,and simultaneously achieve recognition of cigarette specification and quantity.
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