Automated prediction of age and gender from a image is a endeavor useful in distinct domains: biometrics, id verification, movie surveillance, crowd habits evaluation, on line ad, and some others. Most generally, this endeavor is executed making use of deep neural networks.
A current paper on arXiv.org proposes a novel age and gender recognition method which combines the attentional network with the residual network. The previous allows to show up at the most salient and informative pieces of the encounter, e. g. the outline, eyes, and wrinkles. As the benefits show, the joint product outperforms both of those person models.
Also, understanding that data about the person’s gender can guide to better age prediction, the authors of the analyze use predicted gender as an input for the age prediction. The precision of gender detection was .965 and the precision of age vary