|
--- |
|
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 |
|
|
|
- **Paper** [PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval](https://www.sciencedirect.com/science/article/pii/S0924271618300042) |
|
|
|
### Licensing Information |
|
|
|
For research purposes. |
|
|
|
## Citation Information |
|
|
|
[PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval](https://www.sciencedirect.com/science/article/pii/S0924271618300042) |
|
|
|
``` |
|
@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} |
|
} |
|
``` |
