There is no data like more data – current status of machine learning datasets in remote sensing [article]

Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch
2021 arXiv   pre-print
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.
arXiv:2105.11726v2 fatcat:mcpwl3a2y5cl5jl5m2llyxu4ni