Abstract:In order to improve the detection speed of YOLOv5(You Only Look Once v5) in complex environments and dense target scenarios, a target detection method CN-YOLOv5(Cow Milk-You Only Look Once v5) improved YOLOv5 model is proposed. The traditional YOLOv5 network structure is improved, and the ability of the algorithm to extract features is improved by adding the SE (Squeeze and Excitation) attention module structure, and the accuracy of milk identification is improved. By improving the SPP (Spatial Pyramid Pooling… Show more
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