System and method for training a damage identification model

An apparatus for identifying damages of a vehicle, the apparatus comprising:

• one or more processors;
• and
• a storage medium storing instructions that, when executed by the one or more processors, cause the apparatus to perform a method comprising:
• obtaining, by a computing device, a set of tagged digital images as training data, wherein each tagged digital image includes at least one damage object;
• training a damage identification model based on the training data, wherein training the damage identification model comprises:
• identifying at least a damage object in the training data based on a target detection technique;
• generating a set of feature vectors for the training data;
• and
• using the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model;
• and
• applying the trained damage identification model to obtain a damage category prediction result.

A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for identifying damages of a vehicle, the method comprising:

• obtaining, by a computing device, a set of tagged digital images as training data, wherein each tagged digital image includes at least one damage object;
• training a damage identification model based on the training data, wherein training the damage identification model comprises:
• identifying at least a damage object in the training data based on a target detection technique;
• generating a set of feature vectors for the training data;
• and
• using the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model;
• and
• applying the trained damage identification model to obtain a damage category prediction result.