GeoEye

BNU500 A geospatial image based eye movement dataset for cartography and GIS

Abstract

A geospatial image-based eye movement dataset called GeoEye, a publicly shared, widely available eye movement dataset. This dataset consists of 110 college- aged participants who freely viewed 500 images, including thematic maps, remote sensing images, and street view images, which could use for geospatial image saliency prediction and map user identification.

Full citation (dataset) with DOI

HE, ICE (2021). GeoEye dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.14684214.v4

He, B., Dong, W., Liao, H., Ying, Q., Shi, B., Liu, J., & Wang, Y. (2023). A geospatial image based eye movement dataset for cartography and GIS. Cartography and Geographic Information Science, 50(1), 96–111. https://doi.org/10.1080/15230406.2022.2153172

https://www.tandfonline.com/doi/full/10.1080/15230406.2022.2153172

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eye movement dataset  geospatial image  cartography  GIS  visual saliency detection 

See also