Comparison of Convolutional Neural Network (CNN) Models in Face Classification of Papuan and Other Ethnicities
DOI:
https://doi.org/10.23887/jstundiksha.v12i1.46861Kata Kunci:
Model Convolutional Neural Network, Klasifikasi Wajah, KomputerAbstrak
The face of the Papuan people is unique when compared to other ethnic groups in Indonesia, even in Papua itself there are tribes whose differences can also be identified in general, namely coastal people and mountainous people. determined to identify Papuan faces. The faces of Papuans can be identified with the architectural models in Convolutional Neural Networks (CNN) such as VGG16, VGG-19, ResNet-50 and MobileNet v1 and Mobilenet v2. The best model is the Mobile Net v1 architectural model for Papuan and Non-Papuan Face Recognition with 0.95 or 95% accuracy.
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