{"url":"/dataset/sf-mask","name":"SF-MASK","full_name":"Small Face MASK","description_markdown":"**SF-MASK** is a collection made from 20k low-resolution images exported from diverse and heterogeneous datasets, ranging from 7 x 7 to 64 x 64 pixel resolution. An accurate visualization of this collection, through counting grids, made it possible to highlight gaps in the variety of poses assumed by the heads of the pedestrians.\r\n\r\nSource: [A Masked Face Classification Benchmark](https://arxiv.org/pdf/2211.13061v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.13061v1.pdf](https://arxiv.org/pdf/2211.13061v1.pdf)","description_withheld":null,"homepage":"https://github.com/HumaticsLAB/sf-mask","introduced_date":"2022-11-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-masked-face-classification-benchmark","title":"A Masked Face Classification Benchmark on Low-Resolution Surveillance Images","first_author":"Federico Cunico","url":null},"license":{"name":"MIT License","url":"https://github.com/HumaticsLAB/sf-mask/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Multi-class Classification","url":"/task/multi-class-classification","datasets_with_task":"/datasets/task/multi-class-classification"}],"languages":[],"variants":["SF-MASK"],"data_loaders":[],"num_papers_in_archive":1,"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."}