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...
Kaydedildi:
| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Department of Mathematics, Universitas Negeri Gorontalo
2025-08-01
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| Seri Bilgileri: | Jambura Journal of Mathematics |
| Konular: | |
| Online Erişim: | https://ejurnal.ung.ac.id/index.php/jjom/article/view/33082 |
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