mlsanityData to 14 Oct 2026

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

arXiv 2105.11726 ↗First posted 25 May 2021cs.LG eess.IVcited by 6

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 1 of its 5 references that are in the map. First posted on arXiv 25 May 2021.

Builds on

1 of 5 references.

References · 1

  1. 2017Functional Map of the Worldcited by 338

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Cited by year

Citing papers per year: 2022: 4; 2023: 1; 2024: 0; 2025: 1.

6 papers.

  1. 2022EarthNets: Empowering AI in Earth Observationcited by 40
  2. 2023There Are No Data Like More Data- Datasets for Deep Learning in Earth Observationcited by 16
  3. 2022A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferabilitycited by 4
  4. 2022EOD: The IEEE GRSS Earth Observation Databasecited by 4
  5. 2022MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wildcited by 1
  6. 2025Benchmarking for Practice: Few-Shot Time-Series Crop-Type Classification on the EuroCropsML Datasetcited by 1