{"url":"/dataset/iirbfd","name":"IRBFD","full_name":null,"description_markdown":"We establish the first large benchmark called IRBFD to facilitate the research in the area of nonuniformity correction and infrared UAV target detection, which consists  of 50,000 manually labeled infrared images with various  nonuniformity levels, multi-scale UAV targets and rich backgrounds with target annotations.","description_withheld":null,"homepage":"https://github.com/IVPLaboratory/UniCD","introduced_date":"2025-04-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/detection-friendly-nonuniformity-correction-a","title":"Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection","first_author":"Houzhang Fang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Image Enhancement","url":"/task/image-enhancement","datasets_with_task":"/datasets/task/image-enhancement"},{"name":"Thermal Image Denoising","url":"/task/thermal-image-denoising","datasets_with_task":"/datasets/task/thermal-image-denoising"}],"languages":[],"variants":["IRBFD"],"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."}