|
--- |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: label |
|
sequence: |
|
class_label: |
|
names: |
|
'0': apron |
|
'1': baseball field |
|
'2': basketball field |
|
'3': beach |
|
'4': bridge |
|
'5': cemetery |
|
'6': commercial |
|
'7': farmland |
|
'8': woodland |
|
'9': golf course |
|
'10': greenhouse |
|
'11': helipad |
|
'12': lake or pond |
|
'13': oil field |
|
'14': orchard |
|
'15': parking lot |
|
'16': park |
|
'17': pier |
|
'18': port |
|
'19': quarry |
|
'20': railway |
|
'21': residential |
|
'22': river |
|
'23': roundabout |
|
'24': runway |
|
'25': soccer |
|
'26': solar panel |
|
'27': sparse shrub |
|
'28': stadium |
|
'29': storage tank |
|
'30': tennis court |
|
'31': train station |
|
'32': wastewater plant |
|
'33': wind turbine |
|
'34': works |
|
'35': sea |
|
splits: |
|
- name: train |
|
num_bytes: 867506522 |
|
num_examples: 14000 |
|
download_size: 867005851 |
|
dataset_size: 867506522 |
|
license: mit |
|
task_categories: |
|
- image-classification |
|
- zero-shot-image-classification |
|
--- |
|
# Dataset Card for "MultiScene" |
|
|
|
## Dataset Description |
|
|
|
- **Paper** [MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images](https://ieeexplore.ieee.org/iel7/36/4358825/09537917.pdf) |
|
- **Split** Clean |
|
|
|
### Split Information |
|
|
|
This HuggingFace dataset repository contains just the 'Clean' split. |
|
|
|
### Licensing Information |
|
|
|
MIT. |
|
|
|
## Citation Information |
|
|
|
[MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images](https://ieeexplore.ieee.org/iel7/36/4358825/09537917.pdf) |
|
|
|
``` |
|
@article{hua2021multiscene, |
|
title = {MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images}, |
|
author = {Hua, Y. and Mou, L. and Jin, P. and Zhu, X. X.}, |
|
year = {in press}, |
|
journal = {IEEE Transactions on Geoscience and Remote Sensing} |
|
} |
|
``` |
