Face Race Classification using ResNet-152 and DenseNet- 121

Face Race Classification using ResNet-152 and DenseNet- 121

ABSTRAK Penelitian ini bertujuan untuk membandingkan hasil kinerja arsitektur ResNet-152 dan DenseNet-121 dalam mengklasifikasikan wajah berdasarkan ras. Ras yang diklasifikasikan terdiri dari 4 kelas: Putih, Hitam, India, dan Asia. Penelitian ini menggunakan parameter batch_size 32, optimizer, dan...

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Bibliographic Details
Main Authors:	JASMAN PARDEDE, SYAFIQ SALIM KLEB
Format:	Article
Language:	Indonesian
Published:	Teknik Elektro Institut Teknologi Nasional Bandung 2024-07-01
Series:	Jurnal Elkomika
Subjects:	performance resnet-152 densenet-121 face classification
Online Access:	https://ejurnal.itenas.ac.id/index.php/elkomika/article/view/11936
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