{"url":"/dataset/sen2venus","name":"Sen2venus","full_name":"SEN2VENµS","description_markdown":"SEN2VENµS is an open dataset for the super-resolution of Sentinel-2 images by leveraging simultaneous acquisitions with the VENµS satellite. The dataset is composed of 10m and 20m cloud-free surface reflectance patches from Sentinel-2, with their reference spatially-registered surface reflectance patches at 5 meters resolution acquired on the same day by the VENµS satellite. This dataset covers 29 locations with a total of 132 955 patches of 256x256 pixels at 5 meters resolution, and can be used for the training of super-resolution algorithms to bring spatial resolution of 8 of the Sentinel-2 bands down to 5 meters.","description_withheld":null,"homepage":"https://zenodo.org/records/6514159","introduced_date":"2022-05-03","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Image Super-Resolution","url":"/task/image-super-resolution","datasets_with_task":"/datasets/task/image-super-resolution"},{"name":"Multispectral Image Super-resolution","url":"/task/multispectral-image-super-resolution","datasets_with_task":"/datasets/task/multispectral-image-super-resolution"}],"languages":[],"variants":["Sen2venus","Sen2venus - 2x upscaling","Sen2venus - 4x upscaling"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multispectral-image-super-resolution-on","task":"Multispectral Image Super-resolution","dataset_variant":"Sen2venus - 2x upscaling","rows":2,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"Swin2SR-MoSE","paper":"/paper/swin2-mose-a-new-single-image-super","metrics":{"PSNR":"49.4784","SSIM":"0.9948"},"code_links":[{"title":"IMPLabUniPr/swin2-mose","url":"https://github.com/IMPLabUniPr/swin2-mose"},{"title":"isp-uv-es/superIX","url":"https://huggingface.co/isp-uv-es/superIX"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/multispectral-image-super-resolution-on-3","task":"Multispectral Image Super-resolution","dataset_variant":"Sen2venus - 4x upscaling","rows":1,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"Swin2SR-MoSE","paper":"/paper/swin2-mose-a-new-single-image-super","metrics":{"PSNR":"45.9272","SSIM":"0.9849"},"code_links":[{"title":"IMPLabUniPr/swin2-mose","url":"https://github.com/IMPLabUniPr/swin2-mose"},{"title":"isp-uv-es/superIX","url":"https://huggingface.co/isp-uv-es/superIX"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/swin2-mose-a-new-single-image-super","title":"Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing","date":"2024-04-29","rows_on_this_dataset":2,"code_links":2,"syntology":null}],"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."}