Undamaged/damaged determination

A computer-implemented method for determining one or more damage states to one or more parts of a vehicle, comprising:

• receiving a plurality of images of the vehicle;
• determining one or more feature representations for each of the plurality of images using a first trained model, wherein each feature representation comprises an indication of damage to at least one part, wherein the first trained model comprises a plurality of image classifiers, each image classifier trained to detect damage to one of a plurality of normalized parts of the vehicle and each of the plurality of images of the vehicle are processed by each of the plurality of image classifiers, wherein each of the plurality of image classifiers are generic with respect to a make and model of the vehicle;
• concatenating, per part, the one or more feature representations for each of the plurality of images;
• determining a damage state of each of the parts of the vehicle using the concatenated feature representation per part using a second trained model;
• and
• outputting the one or more damage states of the parts of the vehicle.