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

ABSTRACT: 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.
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.
There is no data like more data -- current status of machine learning datasets in remote sensing
http://arxiv.org/abs/2105.11726v2