Wild Boar Detection Method Based on Improved YOLOv5s Algorithm and Adaptive Decision Making
Aiming at the shortcomings of current wild boar target detection methods,such as low detection accuracy and algorithm failure in complex background,a wild boar target detection method based on improved YOLOv5s algorithm and adaptive decision making is proposed.Experimental results show that the proposed method has high target detection accuracy and target detection capability under complex background,and is superior to the four benchmark algorithms SE-ResNeXt,Faster R-CNN,SSD and YOLOv5s on multiple evaluation indexes,providing a new method for wild boar target detection.
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