使YOLO,.

Wissem Dilmi1,2, Sami El Ferik1,2, Fethi Ouerdane1,2

  • 1Department of Control and Instrumentation Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.

PubMed
概括

这项研究比较了YOLOv5和YOLOv8在无人机等嵌入式系统上的物流自动化. 它引入了一个GUI,用于更好的可视化和部署指南,以提高运营效率.

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