Age and Gender Detection Using Deep Learning

Abstract

Age and gender detection using deep learning with Convolutional Neural Networks (CNNs) is a popular computer vision task that involves predicting the age and gender of a person from their image. CNNs are powerful deep learning algorithms that are well-suited for image classification tasks. In this task, a CNN model is trained on a large dataset of labeled images, where each image is annotated with the corresponding age and gender of the person. The CNN model learns to extract features from the input image and uses these features to predict the age and gender. Age and gender detection using deep learning with CNNs has various applications in different domains, including surveillance, security, healthcare, and entertainment.