ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models

Yuan, Zhenghang; Xiong, Zhitong; Mou, Lichao; Zhu, Xiao Xiang

doi:https://doi.org/10.5194/essd-17-1245-2025

Articles | Volume 17, issue 3

https://doi.org/10.5194/essd-17-1245-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-1245-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 3

Data description paper

|

24 Mar 2025

Data description paper |

| 24 Mar 2025

ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models

Zhenghang Yuan, Zhitong Xiong, Lichao Mou, and Xiao Xiang Zhu

Data sets

ChatEarthNet Zhenghang Yuan et al. https://doi.org/10.5281/zenodo.11003436

Model code and software

ChatEarthNet Zhenghang Yuan et al. https://doi.org/10.5281/zenodo.11004358

Short summary

ChatEarthNet is an image–text dataset that provides high-quality, detailed natural language descriptions for global-scale satellite data. It consists of 163 488 image-text pairs with captions generated by ChatGPT-3.5 and an additional 10 000 image-text pairs with captions generated by ChatGPT-4V(ision). This dataset has significant potential for training and evaluating vision–language geo-foundation models in remote sensing.