DigiFace-1M is a synthetic dataset for face recognition, obtained by rendering digital faces using a computer graphics pipeline. It contains 1.22M images of 110K unique identities. The dataset consists of two parts. The first part contains 720K images with 10K identities. For each identity, 4 different sets of accessories are sampled and 18 images are rendered for each set. The second part contains 500K images with 100K identities. For each identity, only one set of accessories is sampled and only 5 images are rendered. Following the format of the existing datasets, we provide the aligned crop around the face, resized into $112 \times 112$ resolution.

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