Enhancing public transportation detection using YOLOv5

• Main Authors: Arbi Shukhair, Nur Liyana Ameera, Mansor, Hasmah, Gunawan, Teddy Surya, Abdul Kadir, Kushsairy
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2024
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/110155/1/110155_Enhancing%20public%20transportation.pdf; http://irep.iium.edu.my/110155/7/110155_Enhancing%20public%20transportation_SCOPUS.pdf; http://irep.iium.edu.my/110155/; https://ieeexplore.ieee.org/document/10373549

In the current context of urbanization and transportation expansion, the need for accurate and efficient detection systems for public transportation has become of the utmost importance. The paper presents a novel strategy to establish new standards in transportation detection systems. Using the powe...