Datasets › Sen2venus

Sen2venus (SEN2VENµS)

3 May 2022 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Multispectral Image Super-resolution Sen2venus - 2x upscaling Swin2SR-MoSE PSNR 49.4784 Swin2-MoSE: A New Single Image Super-Resolution Model... IMPLabUniPr/swin2-mose +1 2 Compare
Multispectral Image Super-resolution Sen2venus - 4x upscaling Swin2SR-MoSE PSNR 45.9272 Swin2-MoSE: A New Single Image Super-Resolution Model... IMPLabUniPr/swin2-mose +1 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing 2 2 29 Apr 2024 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Sen2venus
  • Sen2venus - 2x upscaling
  • Sen2venus - 4x upscaling

3 variant names, as the archive lists them.

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