{"url":"/dataset/raw-natural-image-noise-dataset","name":"RawNIND","full_name":"Raw Natural Image Noise Dataset","description_markdown":"The Raw Natural Image Noise Dataset (RawNIND) is a diverse collection of paired raw images designed to support the development of denoising models that generalize across sensors, image development workflows, and styles.\r\n\r\nRawNIND contains 2831 raw images (2279 noisy and 562 clean) split across 310 scenes and 11 cameras.","description_withheld":null,"homepage":"https://dataverse.uclouvain.be/dataset.xhtml?persistentId=doi:10.14428/DVN/DEQCIM","introduced_date":"2025-01-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-joint-denoising-demosaicing-and","title":"Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise Dataset","first_author":"Benoit Brummer","url":null},"license":{"name":"CC BY-SA","url":null},"modalities":[],"tasks":[{"name":"Denoising","url":"/task/denoising","datasets_with_task":"/datasets/task/denoising"},{"name":"Image Restoration","url":"/task/image-restoration","datasets_with_task":"/datasets/task/image-restoration"},{"name":"Image Denoising","url":"/task/image-denoising","datasets_with_task":"/datasets/task/image-denoising"},{"name":"Raw reconstruction","url":"/task/raw-reconstruction","datasets_with_task":"/datasets/task/raw-reconstruction"}],"languages":[],"variants":["RawNIND"],"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."}