Datasets:
metadata
license: apache-2.0
task_categories:
- visual-question-answering
tags:
- remote-sensing
- earth-observation
- sentinel-2
- multispectral
- benchmark
SpectralCheck-EO
A spectrally grounded benchmark for vision-language models in Earth observation.
1,724 Sentinel-2 L2A tiles (~5 km squares) with 11 spectral indices computed per tile and per 3x3 region, plus RGB previews.
Status: work in progress. This release contains imagery statistics only. Question-answer pairs and evaluation splits are not yet published — do not use for evaluation yet.
Fully reproducible: every tile is identified by its STAC item ID, so the whole dataset can be regenerated from public Sentinel-2 data using the included manifest and pipeline.
RIOTU Lab, Prince Sultan University.