Apple Appearance Quality Detection Based on Coordinate Attention Mechanism and Residual Network
With the development of machine vision technology,the use of convolutional neural network to achieve apple quality classification has become a better technology.In this paper,an apple quality detection method based on residual neural network and coordinate attention mechanism is proposed.The experimental results show that the average accuracy of ResNet18 network model after the introduction of coordinate attention mechanism reaches 91.4%,and the loss value is 0.1.This method has better performance than ResNet18,34 and 50 network models,and can effectively realize Apple quality classification.
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