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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': airplane
            '1': airport
            '2': baseball_diamond
            '3': basketball_court
            '4': beach
            '5': bridge
            '6': chaparral
            '7': church
            '8': circular_farmland
            '9': cloud
            '10': commercial_area
            '11': dense_residential
            '12': desert
            '13': forest
            '14': freeway
            '15': golf_course
            '16': ground_track_field
            '17': harbor
            '18': industrial_area
            '19': intersection
            '20': island
            '21': lake
            '22': meadow
            '23': medium_residential
            '24': mobile_home_park
            '25': mountain
            '26': overpass
            '27': palace
            '28': parking_lot
            '29': railway
            '30': railway_station
            '31': rectangular_farmland
            '32': river
            '33': roundabout
            '34': runway
            '35': sea_ice
            '36': ship
            '37': snowberg
            '38': sparse_residential
            '39': stadium
            '40': storage_tank
            '41': tennis_court
            '42': terrace
            '43': thermal_power_station
            '44': wetland
    - name: image_id
      dtype: string
  splits:
    - name: train
      num_bytes: 254594749.8
      num_examples: 18900
    - name: validation
      num_bytes: 84784207.3
      num_examples: 6300
    - name: test
      num_bytes: 85237234
      num_examples: 6300
  download_size: 425667137
  dataset_size: 424616191.1
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
size_categories:
  - 10K<n<100K
license: unknown
task_categories:
  - image-classification

Description

RESISC45 dataset is a publicly available benchmark for Remote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU). This dataset contains 31,500 images, covering 45 scene classes with 700 images in each class.

The dataset does not have any default splits. Train, validation, and test splits were based on these definitions here https://github.com/google-research/google-research/blob/master/remote_sensing_representations/README.md#dataset-splits

Citation

@article{Cheng_2017,
   title={Remote Sensing Image Scene Classification: Benchmark and State of the Art},
   volume={105},
   ISSN={1558-2256},
   url={http://dx.doi.org/10.1109/JPROC.2017.2675998},
   DOI={10.1109/jproc.2017.2675998},
   number={10},
   journal={Proceedings of the IEEE},
   publisher={Institute of Electrical and Electronics Engineers (IEEE)},
   author={Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},
   year={2017},
   month={Oct},
   pages={1865-1883}
}