基于改进YOLOv8的火焰检测算法研究.docx
基于改进YOLOv8的火焰检测算法研究
目录
基于改进YOLOv8的火焰检测算法研究(1)......................4
内容简述................................................4
1.1研究背景和意义.........................................4
1.2国内外研究现状.........................................5
目标与问题定义..........................................6
2.1火焰检测的目标.........................................6
2.2主要问题及挑战.........................................7
文献综述................................................8
3.1基于YOLOv8的火焰检测方法概述...........................9
3.2改进YOLOv8的相关研究..................................10
3.3其他相关技术对比分析..................................10
系统架构设计...........................................11
4.1系统总体框架设计......................................12
4.2模型选择与参数优化....................................13
火焰检测算法实现.......................................14
5.1数据预处理流程........................................14
5.2YOLOv8模型构建........................................15
5.3火焰检测关键步骤......................................16
实验与结果分析.........................................16
6.1实验环境设置..........................................17
6.2实验数据集介绍........................................18
6.3实验结果展示与分析....................................19
结果讨论与评估.........................................19
7.1检测精度与召回率分析..................................20
7.2部署与应用前景探讨....................................21
结论与未来工作展望.....................................22
8.1研究成果总结..........................................23
8.2不足之处与改进建议....................................23
基于改进YOLOv8的火焰检测算法研究(2).....................24
内容描述...............................................24
1.1研究背景..............................................25
1.2研究意义..............................................26
1.3国内外研究现状........................................26
改进YOLOv8算法概述.....................................27
2.1YOLOv8算法简介........................................28
2.2YOLOv8算法原理........................................29
2.3YOLOv8算法的优势与不足................................30
改进YOLOv8算法设计.........