The Neural Network Models Effectiveness for Face Detection and Face Recognition
Kirill Smelyakov, Anastasiya Chupryna, Oleksandr Bohomolov, Nikita Hunko · 2021
The paper is devoted to estimation of the effectiveness of the use of modern convolutional neural networks for face detection and face recognition. On standard and custom datasets, learning of neural networks and comparison of the effectiveness of their functioning are carried out. An algorithm and recommendations are proposed regarding the practical application of the neural networks for detecting faces on digital photographs.