{"url":"/dataset/nagoya-university-extremely-low-resolution","name":"Nagoya University Extremely Low-resolution FIR Image Action Dataset","full_name":null,"description_markdown":"A pedestrian dataset for Person Re-identification.\r\n\r\nSource: [Nagoya University Extremely Low-resolution FIR Image Action Dataset](https://www.murase.m.is.nagoya-u.ac.jp/~kawanishiy/en/datasets.html)","description_withheld":null,"homepage":"https://www.murase.m.is.nagoya-u.ac.jp/~kawanishiy/en/datasets.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["Nagoya University Extremely Low-resolution FIR Image Action Dataset"],"data_loaders":[],"num_papers_in_archive":0,"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."}