Image recognition system for rental vehicle damage detection and management

A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause a computer system to perform operations for detecting vehicle damage, the operations comprising:

• training a machine learning model to identify and classify vehicle damage, wherein the machine learning model is trained using, at least in part, one or more sets of images that each depicts a respective type of vehicle damage and a set of images that do not depict vehicle damage;
• receiving one or more images which provide a 360 degree view of an exterior of a vehicle;
• and
• determining damage to the vehicle as depicted in the received one or more images using, at least in part, the trained machine learning model.

A system, comprising:

• a processor;
• and
• a memory configured to perform an operation for detecting vehicle damage, the operation comprising:
• training a machine learning model to identify and classify vehicle damage, wherein the machine learning model is trained using, at least in part, one or more sets of images that each depicts a respective type of vehicle damage and a set of images that do not depict vehicle damage,
• receiving one or more images which provide a 360 degree view of an exterior of a vehicle, and
• determining damage to the vehicle as depicted in the received one or more images using, at least in part, the trained machine learning model.