Optimal-31 / README.md
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---
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}
}
```