metadata
dataset_info:
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
Licensing Information
CC BY 4.0
Citation Information
@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}
}