文档详情

优化YOLOv8n算法实现轻量级水下精准目标检测研究.docx

发布:2025-03-22约4.29万字共70页下载文档
文本预览下载声明

优化YOLOv8n算法实现轻量级水下精准目标检测研究

目录

优化YOLOv8n算法实现轻量级水下精准目标检测研究(1).........4

内容概括................................................4

1.1研究背景...............................................5

1.2研究意义...............................................6

1.3国内外研究现状.........................................7

YOLOv8n算法概述.........................................9

2.1YOLOv8n算法原理........................................9

2.2YOLOv8n算法架构.......................................10

2.3YOLOv8n算法优缺点分析.................................12

轻量级水下目标检测技术.................................13

3.1水下环境特点..........................................14

3.2轻量级目标检测方法....................................15

3.3水下目标检测挑战......................................17

YOLOv8n算法在水下目标检测中的应用......................17

4.1算法改进策略..........................................18

4.2数据预处理方法........................................19

4.3模型训练与优化........................................20

实验设计与结果分析.....................................22

5.1实验数据集............................................23

5.2实验评价指标..........................................24

5.3实验结果分析..........................................27

5.3.1检测精度分析........................................27

5.3.2检测速度分析........................................29

5.3.3模型复杂度分析......................................30

优化YOLOv8n算法的关键技术..............................31

6.1网络结构优化..........................................32

6.2损失函数设计..........................................33

6.3模型剪枝与量化........................................34

轻量级水下精准目标检测系统设计.........................35

7.1系统架构设计..........................................36

7.2硬件平台选择..........................................37

7.3软件系统实现..........................................38

优化YOLOv8n算法实现轻量级水下精准目标检测研究(2)........39

内容概括...............................................40

1.1研究背景与意义........................................40

1.2研究内容与方法........................................42

1.3论文结构安排..........................................43

相关工作..........

显示全部
相似文档