1. A method for obtaining information about an occupying item in a space in a vehicle, comprising: obtaining images of an area above a seat in the vehicle in which the occupying item is situated; and classifying the occupying item by inputting signals derived from the images into a trained neural network form which is trained to output an indication of the class of occupying item from one of a predetermined number of possible classes.