Abstract: An image processing system analyzes each of a set of vehicle images to determine one or more types of vehicle damage present in the selected images. The image processing system uses a characterization engine in the form of a neural network based image model to process each of the pixels of each of the selected images to determine, for the particular pixels of the image (or of the object depicted within the image) at which damage exists, the type of damage that is present. The damage types may include a tear, a scratch, a dent, a missing piece, a misalignment or other types of damage.