Comparative Study of Deep Learning Methods in Detection Face Mask Utilization
Ivan Muhammad Siegfried · 2020
In 2020, the world is facing new and emerging virus called COVID-19 where the transmission could be halted using a face mask. A method and model needed to anticipate the spread of such virus. We study some transfer and deep learning methods: MobileNetV2, ResNet50V2, and Xception. The result is that the usage of ResNet50V2 and Xception for face image dataset using mask has better accuracy and precision than that of MobileNetV2 method.