📅 11 December 2023
DOI: 10.58192/populer.v3i1.1641
Implementasi Algoritma YOLO Dalam Pengklasifikasian Objek Transportasi pada Lalu Lintas Kota Medan
Populer: Jurnal Penelitian Mahasiswa
Universitas Maritim AMNI
📄 Abstract
This research allows an automated system for detecting classified means of transportation in Medan City traffic using the YOLOv8 algorithm. The YOLOv8 algorithm is used to detect transportation objects with accuracy that is many times better than other object detection algorithms and with good accuracy after training with various data sets. The use of this algorithm provides an effective solution for handling congestion in the form of increasing the number of vehicles and less orderly traffic users in the city of Medan. The placement of each transportation object in the image to be tested by the system has an influence on the shape accuracy of the object detection results by the algorithm.
🔖 Keywords
#YOLOv8; Detection; Classification; Transport
ℹ️ Informasi Publikasi
Tanggal Publikasi
11 December 2023
Volume / Nomor / Tahun
Volume 3, Nomor 1, Tahun 2023
📝 HOW TO CITE
Muhammad Agus Syaputra; Josua Pinem; Afiq Alghazali Lubis; Yuva Denia, "Implementasi Algoritma YOLO Dalam Pengklasifikasian Objek Transportasi pada Lalu Lintas Kota Medan," Populer: Jurnal Penelitian Mahasiswa, vol. 3, no. 1, Dec. 2023.
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