RSVQAxBEN

The RSVQAxBEN dataset is a large-scale benchmark dataset for remote sensing visual question answering, based on the BigEarthNet (BEN) archive and containing 590,326 Sentinel-2 L2A image patches with 12 spectral bands of varying resolution.

Data and Resources

Cite this as

Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir (2024). Dataset: RSVQAxBEN. https://doi.org/10.57702/ukt8htxk

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2210.04510
Author Tim Siebert
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Kai Norman Clasen
Mahdyar Ravanbakhsh
Begüm Demir
Homepage https://git.tu-berlin.de/rsim/multi-modal-fusion-transformer-for-vqa-in-rs