We introduce HyperFace, a novel framework for generaing synthetic face recognition datasets and increasing the inter-class variation. We formulate the dataset generation as a packing problem on the embedding space (represented on a hypersphere) of a face recognition model and propose a new synthetic dataset generation approach (called HyperFace). We release several synthetic datasets of face images up to 50,000 unique synthetic identities and 3.2 million images.

datasets of face images up to 50,000 unique synthetic identities and 3.2 million images