Peanut kernel detection system based on improved YOlOv5s
In order to improve the detection level of peanut kernel,a peanut kernel detection system based on improved YOLOv5s is designed in this paper.After introducing MobileNet V2 module and CBAM atten-tion mechanism into YOLOv5s neural network model,it is deployed to the detection system.According to the experiment results,after deploying the improved neural network detection system,the detection accura-cy reaches 98.26％,the detection speed has been increased by 4 times,and the weight file is reduced by 10.5 MB.Thus,it can be seen that the peanut kernel detection system can realize the rapid and accurate detection of peanut kernel.
peanut kernel detectionmodel improvementpeanut kernel data setmodel trainingoptimal model
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