Image processing systems for detecting vehicle segments from vehicle images

Abstract

An image processing system analyzes each of a set of vehicle images to determine one or more vehicle segments present in the 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 images to determine the particular pixels of the image (or of the object depicted within the image) within or associated with a particular vehicle segment, such as a vehicle door, bumper, right or left panel, rear panel, windshield, etc. The characterization engine or image model may be developed or trained using a training engine that analyzes a plurality of images of different vehicles damaged in various different manners which have been annotated, on a pixel by pixel basis, to indicate the segments of the vehicle to which the various pixels belong or depict, and which have also been annotated, on an image basis, to indicate the view and/or zoom level of the image.