现代信息科技2024，Vol.8Issue(18)：52-58,7.DOI:10.19850/j.cnki.2096-4706.2024.18.011
基于YOLOv8的目标检测算法改进研究
Research on the Improvement of Target Detection Algorithm Based on YOLOv8
肖富坤1
作者信息
- 1. 沈阳航空航天大学,辽宁 沈阳 110136
- 折叠
摘要
Abstract
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.关键词
目标检测/高精度/YOLOv8/卷积网络Key words
target detection/high accuracy/YOLOv8/convolutional network分类
信息技术与安全科学引用本文复制引用
肖富坤..基于YOLOv8的目标检测算法改进研究[J].现代信息科技,2024,8(18):52-58,7.
