Datasets:

jonathan-roberts1
/

Million-AID

label_1 class label 8 classes	label_2 class label 28 classes	label_3 class label 51 classes
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area
1commercial land	22commercial area	41commercial area

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Dataset Card for "Million-AID"

Split Information

This HuggingFace dataset repository contains just the Train split.

Licensing Information

CC BY-NC-ND 4.0

Citation Information

On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid

@article{long2021creating,
  title        = {On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid},
  author       = {Long, Yang and Xia, Gui-Song and Li, Shengyang and Yang, Wen and Yang, Michael Ying and Zhu, Xiao Xiang and Zhang, Liangpei and Li, Deren},
  year         = 2021,
  journal      = {IEEE Journal of selected topics in applied earth observations and remote sensing},
  publisher    = {IEEE},
  volume       = 14,
  pages        = {4205--4230}
}

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Paper

On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid

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Train

Size of downloaded dataset files:

872 MB

Size of the auto-converted Parquet files:

872 MB

Number of rows:

10,000