{"url":"/dataset/bs-rscd","name":"BS-RSCD","full_name":null,"description_markdown":"BS-RSCD is a dataset for rolling shutter correction and deblurring (RSCD). The dataset includes both ego-motion and object-motion in dynamic scenes. Real distorted and blurry videos with corresponding ground truth are recorded simultaneously via a beam-splitter-based acquisition system.","description_withheld":null,"homepage":"https://github.com/zzh-tech/RSCD","introduced_date":"2021-04-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-rolling-shutter-correction-and","title":"Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes","first_author":"Zhihang Zhong","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["BS-RSCD"],"data_loaders":[{"repo":"https://github.com/zzh-tech/RSCD","url":"https://github.com/zzh-tech/RSCD","frameworks":["pytorch"]}],"num_papers_in_archive":2,"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."}