Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': airport
'1': bare land
'2': beach
'3': bridge
'4': commercial
'5': desert
'6': farmland
'7': forest
'8': golf course
'9': highway
'10': industrial
'11': meadow
'12': mountain
'13': overpass
'14': park
'15': parking
'16': playground
'17': port
'18': railway
'19': railway station
'20': residential
'21': river
'22': runway
'23': stadium
'24': storage tank
splits:
- name: train
num_bytes: 2969926932
num_examples: 15000
download_size: 2327956775
dataset_size: 2969926932
license: other
task_categories:
- image-classification
- zero-shot-image-classification
Dataset Card for "CLRS"
Dataset Description
Licensing Information
For academic purposes.
Citation Information
CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification
@article{s20041226,
title = {CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification},
author = {Li, Haifeng and Jiang, Hao and Gu, Xin and Peng, Jian and Li, Wenbo and Hong, Liang and Tao, Chao},
year = 2020,
journal = {Sensors},
volume = 20,
number = 4,
doi = {10.3390/s20041226},
issn = {1424-8220},
url = {https://www.mdpi.com/1424-8220/20/4/1226},
article-number = 1226,
pubmedid = 32102294,
}