EEGET-RSOD

A simultaneous EEG and eye tracking dataset for remote sensing object detection

Abstract

This dataset contains EEG and eye-tracking data when 38 remote sensing experts located specifc objects in 1,000 remote sensing images within a limited time frame.

Full citation (dataset) with DOI

HE, ICE (2025). EEGET-RSOD dataset. figshare. Dataset. https://doi.org/10.6084/m9.fgshare.26943565

He, B., Zhang, H., Qin, T. et al. A simultaneous EEG and eye-tracking dataset for remote sensing object detection. Sci Data 12, 651 (2025). https://doi.org/10.1038/s41597-025-04995-w

https://www.nature.com/articles/s41597-025-04995-w

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eye movement dataset  remote sensing image  EEG  GIS  object detection 

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