Abstract: The invention relates to a method for assessing damage to a motor vehicle on the basis of at least one image file of the damaged motor vehicle, the method comprising ascertaining, on the basis of the at least one image file, whether there is damage to the vehicle zone, determining damage severity in the vehicle zones in which damage has been ascertained; establishing a degree of damage for each individual vehicle part within each damaged vehicle zone on the basis of the damage severity in the damaged vehicle zone and deciding, for each damaged vehicle part, whether a repair of the vehicle part may be performed or whether replacement of the vehicle part is required.

Abstract: The invention relates to a method for assessing damage to a motor vehicle on the basis of at least one image file of the damaged motor vehicle, the method comprising the following steps: ascertaining, on the basis of the at least one image file, for a plurality of prespecified vehicle zones of the motor vehicle, whether there is damage to the vehicle zone, using a first database, which contains information regarding the vehicle zones of the motor vehicle, and using an artificial neural network, which is trained to detect damage in prespecified vehicle zones of motor vehicles determining damage severity in the vehicle zones in which damage has been ascertained, this determination being made on the basis of the image file and using the first database and the artificial neural network; establishing a degree of damage for each individual vehicle part within each damaged vehicle zone on the basis of the damage severity in the damaged vehicle zone by means of a second database, which specifies each vehicle part