---
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': commercial area
          '10': dense residential
          '11': desert
          '12': forest
          '13': freeway
          '14': golf course
          '15': ground track field
          '16': harbor
          '17': industrial area
          '18': intersection
          '19': island
          '20': lake
          '21': meadow
          '22': medium residential
          '23': mobile home park
          '24': mountain
          '25': overpass
          '26': parking lot
          '27': railway
          '28': rectangular farmland
          '29': roundabout
          '30': runway
  splits:
  - name: train
    num_bytes: 25100636.72
    num_examples: 1860
  download_size: 25105452
  dataset_size: 25100636.72
license: other
task_categories:
- image-classification
- zero-shot-image-classification
---
# Dataset Card for "Optimal-31"

## Dataset Description

- **Paper** [Scene classification with recurrent attention of VHR remote sensing images](https://ieeexplore.ieee.org/iel7/5/8045830/07891544.pdf)

### Licensing Information

[No license for now, cite the paper below.]

## Citation Information

[Scene classification with recurrent attention of VHR remote sensing images](https://ieeexplore.ieee.org/iel7/5/8045830/07891544.pdf)

```
@article{wang2018scene,
  title        = {Scene classification with recurrent attention of VHR remote sensing images},
  author       = {Wang, Qi and Liu, Shaoteng and Chanussot, Jocelyn and Li, Xuelong},
  year         = 2018,
  journal      = {IEEE Transactions on Geoscience and Remote Sensing},
  publisher    = {IEEE},
  volume       = 57,
  number       = 2,
  pages        = {1155--1167}
}
```