EFFICIENT GENDER DETECTION USING DEEP CONVOLUTION NEURAL NETWORKS
International Research Journal of Modernization in Engineering Technology and Science · 2023
A crucial task in intelligent applications, such as access control, human-computer cooperation, enforcement, marketing intelligence, and visual surveillance, is estimating gender from a facial image.Gender is a key facial characteristic that is important for social coordination.Human classification and identification have been used for a very long period in many different fields.The main goal of this work is to create an algorithm that accurately and efficiently determines a person's gender.In light of the expanding use of online social networking sites, automatic gender detection is now relevant to an expansion of its implementation in various software and hardware.It has been determined that using deep convolutional neural networks and learning and classification techniques.These gender classification jobs are expected to handle information at an estimated rate of growth.The method described in this work is straightforward and simple to use for human classification; it simply requires a webcam and a respectable computer system to operate.