Patent ID: 11948386
Assignee: SPACEFARM LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 21:
22. A method of determining an authenticity score based on digital image data of a creative work, the method comprising:
receiving, via a network, a first digital image data of a first creative work, the first digital image data comprising a plurality of images of the first creative work;
determining, by one or more processors and based on the first digital image data, one or more first feature variables, each of the first feature variables corresponding to a characteristic of the first creative work;
generating, by the one or more processors and based on at least the one or more first feature variables, a first author profile corresponding to an author of the first creative work;
obtaining, by the one or more processors, a comparison dataset that comprises, for each one of a plurality of additional creative works:
one or more associated author profiles,
one or more associated creative work categories, and
one or more associated feature variables;

training, by the one or more processors and with input including the first feature variables and the comparison dataset, a first machine learning model to generate an output indicating an authenticity score of a creative work corresponding to the first feature variables;
training, by the one or more processors and with input including the first feature variables and the comparison dataset, a second machine learning model to generate an output indicating one or more associated author profiles corresponding to the first feature variables of the first creative work;
training, by the one or more processors and with input including the one or more first feature variables and the comparison dataset, a third machine learning model to generate an output indicating one or more creative work categories associated with the first creative work;
updating, by the one or more processors and based on the output of the first machine learning model indicating an authenticity score of the first creative work, the comparison dataset to further comprise the one or more first feature variables and the first author profile;
updating, by the one or more processors and based on the output of the second machine learning model indicating one or more revised author profiles associated with the first creative work, the comparison dataset to comprise one or more additional author profiles associated with, or corresponding to, the first author profile;
updating, by the one or more processors and based on the output of the third machine learning model indicating one or more creative work categories associated with the first creative work, the comparison dataset to comprise one or more revised creative work categories;
storing, with a non-transitory memory and by the one or more processors, the updated comparison dataset; and
communicating, via the network, an output of the first machine learning model indicating an authenticity score of the first creative work corresponding to the first feature variables.