{"url":"/dataset/msrb","name":"MSRB","full_name":"Marine Snow Removal Benchmarking","description_markdown":"MSRB is a benchmarking dataset for marine snow removal of underwater images. Marine snow is one of the main degradation sources of underwater images that are caused by small particles, e.g., organic matter and sand, between the underwater scene and photosensors. The dataset consists of large-scale pairs of ground-truth and degraded images to calculate objective qualities for marine snow removal and to train a deep neural network. We propose two marine snow removal tasks using the dataset and show the first benchmarking results of marine snow removal.","description_withheld":null,"homepage":"https://github.com/ychtanaka/marine-snow","introduced_date":"2021-03-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/marine-snow-removal-benchmarking-dataset","title":"Marine Snow Removal Benchmarking Dataset","first_author":"Reina Kaneko","url":null},"license":{"name":"CC BY-NC-SA 2.0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["MSRB"],"data_loaders":[{"repo":"https://github.com/ychtanaka/marine-snow","url":"https://github.com/ychtanaka/marine-snow","frameworks":[]}],"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."}