Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': airplane
'1': baseball field
'2': basketball court
'3': beach
'4': bridge
'5': cemetery
'6': chaparral
'7': christmas tree farm
'8': closed road
'9': coastal mansion
'10': crosswalk
'11': dense residential
'12': ferry terminal
'13': football field
'14': forest
'15': freeway
'16': golf course
'17': harbor
'18': intersection
'19': mobile home park
'20': nursing home
'21': oil gas field
'22': oil well
'23': overpass
'24': parking lot
'25': parking space
'26': railway
'27': river
'28': runway
'29': runway marking
'30': shipping yard
'31': solar panel
'32': sparse residential
'33': storage tank
'34': swimming pool
'35': tennis court
'36': transformer station
'37': wastewater treatment plant
splits:
- name: train
num_bytes: 821222673.6
num_examples: 30400
download_size: 1422129774
dataset_size: 821222673.6
license: other
task_categories:
- image-classification
- zero-shot-image-classification
Dataset Card for "PatternNet"
Dataset Description
Licensing Information
For research purposes.
Citation Information
PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval
@article{zhou2018patternnet,
title = {PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval},
author = {Zhou, Weixun and Newsam, Shawn and Li, Congmin and Shao, Zhenfeng},
year = 2018,
journal = {ISPRS journal of photogrammetry and remote sensing},
publisher = {Elsevier},
volume = 145,
pages = {197--209}
}