A common vegetable image detection method based on YOLOv5
The accurate classification and detection of vegetables are of great significance to their production and processing efficiency.In order to improve the efficiency of vegetable production and processing,a common vegetable image detection method based on YOLOv5 is proposed.First,,LabelImg tool was used to annotate the position information and category of 6 common veg-etable images,so as to provide data set for YOLOv5 training,providing data set for YOLOv5 training.Secondly,a target detection network based on YOLOv5 is built to extract features from vegetable images and obtain the vegetable image detection network.Fi-nally,the performance of the proposed method is verified on a vegetable test set.The experimental results show that the proposed method can effectively realize the image detection of common vegetables.
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