METHOD FOR GENERATING A TRAINING DATA SET

Abstract

A computer-implemented method for generating a training dataset involves creating a multitude of synthetic image datasets based on a corresponding multitude of input image datasets and a target factor using a generator model. Each synthetic image dataset in the multitude is associated, at least substantially, with a target factor. The method further involves combining the multitude of synthetic image datasets to obtain a unified training dataset associated with the target factor.