PREDICTION OF AGE AND GENDER THROUGH IMAGE DATASET USING DEEP LEARNING

Gender is still a central aspect of personality, and in social life it is still an important factor.Gender and age projections for artificial intelligence can be used by many areas, such as the development of smart human-machine interfaces, fitness, cosmetics, e-commerce, etc. Age and gender prediction is a matter of continuous and active research for individuals from their facial images. A number of approaches to solving this issue have been suggested by the researchers, but the criteria and actual performance are still insufficient. This paper proposes a mathematical approach to recognition patterns in order to solve this problem.The Convolution Neural Network (ConvNet / CNN) and VGG16 learning algorithm is used as a Classification in the proposed solution. In this research, face images of individuals have been trained with convolution neural networks, and age and sex with a high rate of success have been predicted. More than 20,000 images contain age, gender and ethnicity annotations.