Artificial Intelligence in Age Estimation: a Comparative Study

Age estimation is a curcial learning problem in computer vision. Many larger and deeper CNNs (convolutional neural network) have been proposed with promising performance, such as AlexNet, VggNet, GoogLeNet and ResNet. However, some models are not practical for the embedded/mobile devices. Age estimation is labeling a face image with exact real age or age group: In this paper, we present a thorough analysis of recent research in age estimation. We present the common algorithms used for age estimation, existing models, and how they compare with each other. We also compare the performance of different AI (Artificial Intelligence) systems and how they are evaluated.