Age, Gender and Emotion Detection using CNN

Abstract

Face is one of the most dominant features in our body. We can get many information like age, gender, etc by analyzing the face of a human. In today’s world, computer vision is been used to train machines to comprehend and understand the real world. Using several digital images fromwebcam, videos, cameras and with the help of deep learning, computers can correctly figure out and classify objects and then respond to what they “see” in real world.There are various uses of identifying age and gender from face like forensic testing, restricting access of alcohol from wending machine and adult content for young people. Emotion from a face can be used to predict human computer interaction, students/teacher’s interest in class, advertisement bots etc.

 Keywords: CNN; Residual neural network; RELU -Rectified Linear Unit