An apparatus (10) for generating a training set of anonymized images (40) for training an artificial intelligence (AI) component (42) from images (11) of a plurality of persons. The apparatus includes at least one electronic processor (20) programmed to: spatially map the images of the plurality of persons to a reference image (30) to generate images (32) in a common reference frame; partition the images in the common reference frame into P spatial regions (34) to generate P sets of image patches (36) corresponding to the P spatial regions; assemble a set of training images (3) in the common reference frame by, for each training image in the common reference frame, selecting an image patch from each of the P sets of image patches and assembling the selected image patches into the training image in the common reference frame; and process the training images in the common reference frame to generate the training set of anonymized images including applying statistical inverse spatial mappings to the training images in the common reference frame, wherein the statistical inverse spatial mappings are derived from spatial mappings (33) of the images of the plurality of persons to the reference image.