AID_MultiLabel / README.md
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Updated README with citation information and reordered features.
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      sequence:
        class_label:
          names:
            '0': airplane
            '1': bare soil
            '2': buildings
            '3': cars
            '4': chaparral
            '5': court
            '6': dock
            '7': field
            '8': grass
            '9': mobile home
            '10': pavement
            '11': sand
            '12': sea
            '13': ship
            '14': tanks
            '15': trees
            '16': water
  splits:
    - name: train
      num_bytes: 278244208
      num_examples: 3000
  download_size: 278126146
  dataset_size: 278244208
license: cc0-1.0
task_categories:
  - image-classification
  - zero-shot-image-classification

Dataset Card for "AID_MultiLabel"

Dataset Description

Licensing Information

CC0: Public Domain

Citation Information

Imagery:

AID: A benchmark data set for performance evaluation of aerial scene classification

Multilabels:

Relation Network for Multi-label Aerial Image Classification

@article{xia2017aid,
  title        = {AID: A benchmark data set for performance evaluation of aerial scene classification},
  author       = {Xia, Gui-Song and Hu, Jingwen and Hu, Fan and Shi, Baoguang and Bai, Xiang and Zhong, Yanfei and Zhang, Liangpei and Lu, Xiaoqiang},
  year         = 2017,
  journal      = {IEEE Transactions on Geoscience and Remote Sensing},
  publisher    = {IEEE},
  volume       = 55,
  number       = 7,
  pages        = {3965--3981}
}
@article{hua2019relation,
  title        = {Relation Network for Multi-label Aerial Image Classification},
  author       = {Hua, Yuansheng and Mou, Lichao and Zhu, Xiao Xiang},
  year         = {DOI:10.1109/TGRS.2019.2963364},
  journal      = {IEEE Transactions on Geoscience and Remote Sensing}
}