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Performance Comparison of VGG16, MobileNetV2, and InceptionV3 Convolutional Neural Networks in Classifying Facial Dermatological Conditions

This study investigates the performance of three convolutional neural network (CNN) architectures (VGG16, MobileNetV2 and InceptionV3) in classifying two common facial dermatological conditions: acne and dark spots. A dataset of 235 facial skin images was augmented, then used to train and evaluate e...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Fadilah Karamun Nisaa Nadiyah, Nayla Nur Alifah, Sri Nurdiati, Elis Khatizah, Mohamad Khoirun Najib
Format: Artigo
Sprache:Inglês
Veröffentlicht: Department of Mathematics, Universitas Negeri Gorontalo 2025-08-01
Schriftenreihe:Jambura Journal of Mathematics
Schlagworte:
classification
cnn
mobilenetv2
vgg16
inceptionv3
Online-Zugang:https://ejurnal.ung.ac.id/index.php/jjom/article/view/33082
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