Systems and methods for using machine learning for vehicle damage detection and repair cost estimation

Abstract

Systems and methods for estimating the repair cost of one or more instances of vehicle damage pictured in a digital image are disclosed herein. These systems and methods may first use a damage detection neural network (NN) model to determine location(s), type(s), intensit(ies), and corresponding repair part(s) for pictured damage. Then, a repair cost estimation NN model may be given a damage type, a damage intensity, and the repair part(s) needed to determine a repair cost estimation. The training of each of the damage detection NN model and the repair cost estimation NN model is described. The manner of outputting results data corresponding to the systems and methods disclosed herein is also described.