{"url":"/dataset/sc-burst","name":"SC_burst","full_name":"Smartphone burst Dataset","description_markdown":"Contains16 burst images using smartphones for burst/video denoising, restoration, and enhancement tasks. The raw format are unified and saved SC_burst in \".MAT\", where the raw data and metadata are stored.","description_withheld":null,"homepage":"https://github.com/GuoShi28/GCP-Net","introduced_date":"2021-01-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/joint-denoising-and-demosaicking-with-green","title":"Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images","first_author":"Shi Guo","url":null},"license":{"name":"MIT","url":null},"modalities":[],"tasks":[{"name":"Video Denoising","url":"/task/video-denoising","datasets_with_task":"/datasets/task/video-denoising"},{"name":"Burst Image Reconstruction","url":"/task/burst-image-reconstruction","datasets_with_task":"/datasets/task/burst-image-reconstruction"}],"languages":[],"variants":["SC_burst"],"data_loaders":[],"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."}