1. A method for training data augmentation, said method comprising: providing a source domain and a target domain; augmenting data in said source domain with transformations utilizing characteristics learned from said target domain wherein said characteristics include unlabeled images from said target domain; employing augmented data from said source domain to said transformations to improve image classification accuracy in said target domain or a new domain; and determining at least one representative property of said target domain and said source domain utilizing an average of one property from a set of images and wherein said photometric transformation comprises an intensity clipping.