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Hyperparameter optimization of YOLOv8 for smoke and wildfire detection:Implications for agricultural and environmental safety

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Artificial Intelligence in Agriculture 2024年第2期12卷 109-126页

作者： Leo Ramos Edmundo Casas Eduardo Bendek Cristian Romero Francklin Rivas-Echeverría Kauel Inc. Menlo Park(Silicon Valley)CA 94025USA Computer Vision Center Universitat Autònoma de BarcelonaBellaterra 08193Spain Faculty of Engineering University of DeustoBilbao 48007Spain Jet Propulsion Laboratory NASAPasadenaCA 91109USA

In this study,we extensively evaluated the viability of the state-of-the-art YOLOv8 architecture for object detec-tion tasks,specifically tailored for smoke and wildfire identification with a focus on agricultural and environmen-tal *** available versions of YOLOv8 were initially fine-tuned on a domain-specific dataset that included a variety of scenarios,crucial for comprehensive agricultural ***‘large’version(YOLOv8l)was se-lected for further hyperparameter tuning based on its performance *** model underwent a detailed hyperparameter optimization using the One Factor At a Time(OFAT)methodology,concentrating on key param-eters such as learning rate,batch size,weight decay,epochs,and *** from the OFAT study were used to define search spaces for a subsequent Random Search(RS).The final model derived from RS demon-strated significant improvements over the initial fine-tuned model,increasing overall precision by 1.39%,recall by 1.48%,F1-score by 1.44%,mAP@0.50 by 0.70%,and mAP@0.50:0.95 by 5.09%.We validated the enhanced model's efficacy on a diverse set of real-world images,reflecting various agricultural settings,to confirm its ro-bustness in detecting smoke and *** results underscore the model's reliability and effectiveness in scenar-ios critical to agricultural safety and environmental *** work,representing a significant advancement in the field of fire and smoke detection through machine learning,lays a strong foundation for fu-ture research and solutions aimed at safeguarding agricultural areas and natural environments.

关键词： agricultural safety Wildfire detection Smoke detection Object detection Computer vision YOL

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