---
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

- Paper: https://arxiv.org/abs/1703.00121.
- Website: https://paperswithcode.com/dataset/resisc45 (original homepage is unresponsive http://www.escience.cn/people/JunweiHan/NWPU-RESISC45.html)

## Citation
```bibtex
@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}
}
```