Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.

Code example demonstrating how to detect damage intensity of a damaged car using deep learning

Classifiying the damaged vehicles with deep learning models (keras and tensorflow).

Use publicly available data to train and classify damage incurred by cars, by OpenCV and CNN Networks