Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Ivan Septian
Institut Teknologi dan Bisnis Kalbis
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : KALBISIANA Jurnal Sains, Bisnis dan Teknologi

 1 
Pengembangan Model Pendeteksian Gambar Alat Musik dengan Metode Faster R-CNN dengan Library Keras Ivan Septian; Henry Septanto
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research discusses developing a musical instrument image detection application with a frcnn library method. The purpose of this study is to detect types of musical instruments using the fastest R-CNN as a method of detecting objects. The problem with using RCNN is the length of time of computing. It takes about a minute to process the image data, so the training process will take a very long time. Therefore, researchers use the fastest r-cnn method to get the output quickly.
Co-Authors Henry Septanto