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pro vyhledávání: '"Mohamed Syazwan Asyraf Rosli"'
Autor:
Iza Sazanita Isa, Mohamed Syazwan Asyraf Rosli, Umi Kalsom Yusof, Mohd Ikmal Fitri Maruzuki, Siti Noraini Sulaiman
Publikováno v:
IEEE Access, Vol 10, Pp 52818-52831 (2022)
This study optimized the latest YOLOv5 framework, including its subset models, with training on different datasets that differed in image contrast and cloudiness to assess model performances based on quantitative metrics and image processing speed. T
Externí odkaz:
https://doaj.org/article/a8c8c4c110074e13a4b3b69f3e52253c