SpectralCheck-EO / README.md
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---
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.