Research on the Improvement of Target Detection Algorithm Based on YOLOv8
The existing target detection network often has the problems of complex structure and huge parameters.Therefore,it is difficult to study the high-precision target detection algorithm with simple structure and a few parameters.As a representative single-stage target detection algorithm in the era of Deep Learning,YOLO series algorithms have the characteristics of accuracy,high efficiency and easy deployment,which provides a very good theoretical and technical basis for target detection.Therefore,this paper improves its convolutional network based on YOLOv8 and successfully improves the detection accuracy.
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