Single Shot Multi-Face Detection & Gender Recognition

Abstract

The method is proposed single shot face detection and gender recognition using Convolutional Neural Network(CNN).

The proposed method is using the YOLO algorithm to detect the human face and make gender recognition. The face detection and gender recognition are very interesting since the past two decades. This can be used in future for the security purpose, biometric, digital cosmetic and many more. As human face is a dynamic object having a high degree of variability in its appearance, that make the face detection problem difficult in the computer vision task. The goal of this paper is to multiple face detection and its gender recognition in one shot of image is passed in the network and give the better performance in term of speed and accuracy.