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All Journal Jurnal ULTIMA Computing Nusantara Hasana Journal TIERS Information Technology Journal Jurnal Kesehatan dan Kebidanan Nusantara (JKN)
Safrian Andromeda
Universitas Singaperbangsa Karawang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Medicine & Pharmacology Nursing

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Journal : Jurnal ULTIMA Computing

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Performance Comparison of YOLOv5 and YOLOv8 Architectures in Human Detection using Aerial Images Indri Purwita Sary; Safrian Andromeda; Edmund Ucok Armin
Ultima Computing : Jurnal Sistem Komputer Vol 15 No 1 (2023): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v15i1.3204

Abstract

The development of UAV technology has reached the stage of implementing artificial intelligence, control, and sensing. Cameras as UAV data inputs are employed to ensure flight safety, search for missing persons, and disaster evacuation. Human detection using cameras while flying is the focus of this article. The application of human detection in pedestrian areas using aerial image data is used as the dataset in the deep learning input process. The architectures discussed in this study are YOLOv5 and YOLOv8. The precision, recall, and F1-score values are used as comparisons to evaluate the performance of these architectures. When both architecture performances are applied, YOLOv8 outperforms YOLOv5. The achieved performance of YOLOv8 is a precision of 84.62%, recall of 75.93%, and F1-score of 79.98%.
Co-Authors Agrippina Waya Rahmaning Gusti Bahar Amal Edmund Ucok Armin Indri Purwita Sary Ni Luh Bella Dwijaksara Nurani Masyita Putri Alief Siswanto