Implementing YOLOv9 and Faster R-CNN for Multi-Class Vehicle Recognition

Detail Tugas Akhir

Implementing YOLOv9 and Faster R-CNN for Multi-Class Vehicle Recognition

Kumalasanti, Rosalia Arum (2024) Implementing YOLOv9 and Faster R-CNN for Multi-Class Vehicle Recognition. International Seminar on Research of Information Technology and Intelligent System.

Berkas Tugas Akhir

PDF

Text (International Seminar on Research of Information Technology and Intelligent System)
12648_2024388201.pdf

Ukuran File (3MB)

Informasi Item

Item Type	Article
Subjects	T Technology > TB Information Technology
Divisions	Faculty of Science and Technology > Department of Informatics Engineering
Date Deposited	08 Apr 2025 07:29
Last Modified	08 Apr 2025 07:29
URI	https://repository.usd.ac.id/id/eprint/53793

Actions (login required)

: View Item

Repositori USDPerpustakaan Universitas Sanata Dharma

Sekretariat 0274-880137 Ext: 1538 628112652539 library@usd.ac.id

Telusur

Layanan

Informasi

Kampus 2Jl. Affandi, Mrican, Caturtunggal, Kec. Depok, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55281
PelayananSenin–Jumat, 07.30–21.00 WIB
Sabtu, 08.00–12.30 WIB
Libur kampus tutup.