Deep Learning for Computer Vision

Gender and age detection from face

Applications may require gender and age detection from a face. The face image can be obtained by face detectors. The cropped images of faces can be supplied as training data, and the similar cropped face should be given for inference. Based on the required inference time, OpenCV, or CNN face detectors can be selected. For training, Inception or ResNet can be used. If the required inference time is much less because it is a video, it's better to use three convolutions followed by two fully connected layers. Note that there is usually a huge class imbalance in age datasets, hence using a different metric like precision and recall will be helpful.