Performance comparison of various YOLO architectures on object detection of UAV images

• Main Authors: Gunawan, Teddy Surya, Mahmoud Ismail, Islam Mohamed, Kartiwi, Mira, Ismail, Nanang
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: IEEE 2022
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/101864/7/101864_Performance%20comparison%20of%20various%20YOLO%20Architectures%20on%20Object%20Detection%20of%20UAV%20images.pdf; http://irep.iium.edu.my/101864/8/101864_Performance%20comparison%20of%20various%20YOLO%20Architectures%20on%20Object%20Detection%20of%20UAV%20images_SCOPUS.pdf; http://irep.iium.edu.my/101864/1/TeddyUAV-YOLOv2PDFexpress.pdf; http://irep.iium.edu.my/101864/; https://icsima.ieeemy-ims.org/22/program-schedule/; https://doi.org/10.1109/ICSIMA55652.2022.9928938

Today, the rapid development of deep learning offers an extraordinary opportunity to enhance the performance and efficiency of various industries, including business, the military, medicine, and transportation. Using deep learning algorithms in the transportation industry, for instance, makes UAVs v...