{"url":"/dataset/digiface-1m","name":"DigiFace-1M","full_name":null,"description_markdown":"**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.\r\n\r\nPlease visit the website for more detail.","description_withheld":null,"homepage":"https://microsoft.github.io/DigiFace1M/","introduced_date":"2022-10-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/digiface-1m-1-million-digital-face-images-for","title":"DigiFace-1M: 1 Million Digital Face Images for Face Recognition","first_author":"Gwangbin Bae","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Recognition","url":"/task/face-recognition","datasets_with_task":"/datasets/task/face-recognition"}],"languages":[],"variants":["DigiFace-1M"],"data_loaders":[],"num_papers_in_archive":21,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}