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There is no data like more data -- current status of machine learning datasets in remote sensing

25 May 2021arXiv:2105.11726archive 2025-07-28

Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch

Annotated datasets have become one of the most crucial preconditions for the development and evaluation of machine learning-based methods designed for the automated interpretation of remote sensing data. In this paper, we review the historic development of such datasets, discuss their features based on a few selected examples, and address open issues for future developments.

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