|
|
--- |
|
|
dataset_info: |
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|
features: |
|
|
- name: image |
|
|
dtype: image |
|
|
- name: label |
|
|
sequence: |
|
|
class_label: |
|
|
names: |
|
|
'0': airplane |
|
|
'1': airport |
|
|
'2': bare soil |
|
|
'3': baseball diamond |
|
|
'4': basketball court |
|
|
'5': beach |
|
|
'6': bridge |
|
|
'7': buildings |
|
|
'8': cars |
|
|
'9': chaparral |
|
|
'10': cloud |
|
|
'11': containers |
|
|
'12': crosswalk |
|
|
'13': dense residential area |
|
|
'14': desert |
|
|
'15': dock |
|
|
'16': factory |
|
|
'17': field |
|
|
'18': football field |
|
|
'19': forest |
|
|
'20': freeway |
|
|
'21': golf course |
|
|
'22': grass |
|
|
'23': greenhouse |
|
|
'24': gully |
|
|
'25': habor |
|
|
'26': intersection |
|
|
'27': island |
|
|
'28': lake |
|
|
'29': mobile home |
|
|
'30': mountain |
|
|
'31': overpass |
|
|
'32': park |
|
|
'33': parking lot |
|
|
'34': parkway |
|
|
'35': pavement |
|
|
'36': railway |
|
|
'37': railway station |
|
|
'38': river |
|
|
'39': road |
|
|
'40': roundabout |
|
|
'41': runway |
|
|
'42': sand |
|
|
'43': sea |
|
|
'44': ships |
|
|
'45': snow |
|
|
'46': snowberg |
|
|
'47': sparse residential area |
|
|
'48': stadium |
|
|
'49': swimming pool |
|
|
'50': tanks |
|
|
'51': tennis court |
|
|
'52': terrace |
|
|
'53': track |
|
|
'54': trail |
|
|
'55': transmission tower |
|
|
'56': trees |
|
|
'57': water |
|
|
'58': wetland |
|
|
'59': wind turbine |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1327782862.875 |
|
|
num_examples: 109161 |
|
|
download_size: 1304951717 |
|
|
dataset_size: 1327782862.875 |
|
|
license: cc-by-4.0 |
|
|
--- |
|
|
# Dataset Card for "MLRSNet" |
|
|
|
|
|
## Dataset Description |
|
|
|
|
|
- **Paper:** [MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding](https://www.sciencedirect.com/science/article/pii/S0924271620302677) |
|
|
|
|
|
### Licensing Information |
|
|
|
|
|
CC BY 4.0 |
|
|
|
|
|
## Citation Information |
|
|
|
|
|
[MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding](https://www.sciencedirect.com/science/article/pii/S0924271620302677) |
|
|
|
|
|
``` |
|
|
@article{qi2020mlrsnet, |
|
|
title = {MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding}, |
|
|
author = {Qi, Xiaoman and Zhu, Panpan and Wang, Yuebin and Zhang, Liqiang and Peng, Junhuan and Wu, Mengfan and Chen, Jialong and Zhao, Xudong and Zang, Ning and Mathiopoulos, P Takis}, |
|
|
year = 2020, |
|
|
journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, |
|
|
publisher = {Elsevier}, |
|
|
volume = 169, |
|
|
pages = {337--350} |
|
|
} |
|
|
``` |
