{"url":"/dataset/l1bsr","name":"L1BSR","full_name":"L1BSR dataset","description_markdown":"The Sentinel-2 satellite carries 12 CMOS detectors for the VNIR bands, with adjacent detectors having overlapping fields of view that result in overlapping regions in level-1 B (L1B) images. This dataset includes 3740 pairs of overlapping image crops extracted from two L1B products. Each crop has a height of around 400 pixels and a variable width that depends on the overlap width between detectors for RGBN bands, typically around 120-200 pixels. In addition to detector parallax, there is also cross-band parallax for each detector, resulting in shifts between bands. Pre-registration is performed for both cross-band and cross-detector parallax, with a precision of up to a few pixels (typically less than 10 pixels).","description_withheld":null,"homepage":"https://centreborelli.github.io/L1BSR/","introduced_date":"2023-04-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/l1bsr-exploiting-detector-overlap-for-self","title":"L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery","first_author":"Ngoc Long Nguyen","url":null},"license":{"name":"https://creativecommons.org/licenses/by-nc/4.0/","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Stereo","url":"/datasets/modality/stereo"}],"tasks":[{"name":"Image Super-Resolution","url":"/task/image-super-resolution","datasets_with_task":"/datasets/task/image-super-resolution"},{"name":"Image Restoration","url":"/task/image-restoration","datasets_with_task":"/datasets/task/image-restoration"},{"name":"Stereo Image Super-Resolution","url":"/task/stereo-image-super-resolution","datasets_with_task":"/datasets/task/stereo-image-super-resolution"},{"name":"Self-Supervised Learning","url":"/task/self-supervised-learning","datasets_with_task":"/datasets/task/self-supervised-learning"},{"name":"Image Registration","url":"/task/image-registration","datasets_with_task":"/datasets/task/image-registration"},{"name":"Stereo Disparity Estimation","url":"/task/stereo-disparity-estimation","datasets_with_task":"/datasets/task/stereo-disparity-estimation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["L1BSR"],"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."}