CNN-based Gender Prediction in Uncontrolled Environments

With the increasing amount of data produced and collected, use artificial intelligence technologies has become inevitable. By using deep learning techniques from these technologies, high performance can be achieved in tasks such as classification face analysis fields image processing computer vision. In this study, Convolutional Neural Networks (CNN), one algorithms, was used. The model created with algorithm trained facial images gender prediction made. As a result experiments, 93.71% success rate on VGGFace2 set 85.52% Adience set. aim study is to classify low-resolution accuracy.