geo-bench-1.0 / README.md
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license: cc-by-sa-4.0
pretty_name: GEO-Bench 1.0
size_categories:
  - 10B<n<100B

Dataset Card for GEO-Bench

GEO-Bench is a benchmark for earth monitoring machine learning applications composed of 6 classification tasks and 6 segmentation tasks.

Dataset Details

Dataset Description

  • Curated by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]

Dataset Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Out-of-Scope Use

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Dataset Structure

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations [optional]

Annotation process

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Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

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Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation

BibTeX:

@misc{lacoste2023geobench,
      title={GEO-Bench: Toward Foundation Models for Earth Monitoring}, 
      author={Alexandre Lacoste and Nils Lehmann and Pau Rodriguez and Evan David Sherwin and Hannah Kerner and Björn Lütjens and Jeremy Andrew Irvin and David Dao and Hamed Alemohammad and Alexandre Drouin and Mehmet Gunturkun and Gabriel Huang and David Vazquez and Dava Newman and Yoshua Bengio and Stefano Ermon and Xiao Xiang Zhu},
      year={2023},
      eprint={2306.03831},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}