{"url":"/dataset/metfaces","name":"MetFaces","full_name":null,"description_markdown":"MetFaces is an image dataset of human faces extracted from works of art. The dataset consists of 1336 high-quality PNG images at 1024×1024 resolution. The images were downloaded via the Metropolitan Museum of Art Collection API, and automatically aligned and cropped using dlib. Various automatic filters were used to prune the set.","description_withheld":null,"homepage":"https://github.com/NVlabs/metfaces-dataset","introduced_date":"2020-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/training-generative-adversarial-networks-with-2","title":"Training Generative Adversarial Networks with Limited Data","first_author":"Tero Karras","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"}],"languages":[],"variants":["MetFaces","MetFaces-U"],"data_loaders":[],"num_papers_in_archive":75,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-generation-on-metfaces","task":"Image Generation","dataset_variant":"MetFaces","rows":3,"metrics":["MAE Signature","MAE log-signature","RMSE Signature","RMSE log-signature"],"first_row_in_archive_order":{"model":"t-Stylegan3-ada (NVIDIA pre-trained)","paper":"/paper/signature-and-log-signature-for-the-study-of","metrics":{"MAE Signature":"19872","MAE log-signature":"13761","RMSE Signature":"30894","RMSE log-signature":"21560"},"code_links":[{"title":"decurtoydiaz/signatures","url":"https://github.com/decurtoydiaz/signatures"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-generation-on-metfaces-u","task":"Image Generation","dataset_variant":"MetFaces-U","rows":3,"metrics":["FID","EQ-T","EQ-R"],"first_row_in_archive_order":{"model":"Alias-Free-R","paper":"/paper/alias-free-generative-adversarial-networks","metrics":{"EQ-R":"48.57","EQ-T":"66.34","FID":"18.75"},"code_links":[{"title":"NVlabs/stylegan3","url":"https://github.com/NVlabs/stylegan3"},{"title":"rosinality/alias-free-gan-pytorch","url":"https://github.com/rosinality/alias-free-gan-pytorch"},{"title":"kunheek/style-aware-discriminator","url":"https://github.com/kunheek/style-aware-discriminator"},{"title":"jychoi118/toward_spatial_unbiased","url":"https://github.com/jychoi118/toward_spatial_unbiased"},{"title":"duskvirkus/alias-free-gan-pytorch-lightning","url":"https://github.com/duskvirkus/alias-free-gan-pytorch-lightning"},{"title":"duskvirkus/alias-free-gan","url":"https://github.com/duskvirkus/alias-free-gan"},{"title":"lzhbrian/alias-free-gan-explanation","url":"https://github.com/lzhbrian/alias-free-gan-explanation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/signature-and-log-signature-for-the-study-of","title":"Signature and Log-signature for the Study of Empirical Distributions Generated with GANs","date":"2022-03-07","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/alias-free-generative-adversarial-networks","title":"Alias-Free Generative Adversarial Networks","date":"2021-06-23","rows_on_this_dataset":3,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":31,"samples_ran":18,"samples_unverified":13,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":31,"samples_ran":18,"samples_unverified":13,"pointer_only_for_licence":9,"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."}