Embodiments of the present disclosure provide methods, devices and apparatuses for gaze area detection and neural network training. A method for neural network training for use in gaze area detection comprises: at least inputting into a neural network a face image used as a training sample and corresponding gaze area category labeling information, the labeled gaze area category being one of multiple types of defined gaze areas obtained by dividing a specified spatial area in advance; extracting, by means of the neural network, features of the input face image, and determining gaze area category prediction information of the face image according to the extracted features; determining differences between the gaze area category prediction information and the gaze area category labeling information; and adjusting parameters of the neural network based on the differences.
METHODS, DEVICES AND APPARATUSES FOR GAZE AREA DETECTION AND NEURAL NETWORK TRAINING