Datasets:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': airplane
'1': airport
'2': baseball_diamond
'3': basketball_court
'4': beach
'5': bridge
'6': chaparral
'7': church
'8': circular_farmland
'9': cloud
'10': commercial_area
'11': dense_residential
'12': desert
'13': forest
'14': freeway
'15': golf_course
'16': ground_track_field
'17': harbor
'18': industrial_area
'19': intersection
'20': island
'21': lake
'22': meadow
'23': medium_residential
'24': mobile_home_park
'25': mountain
'26': overpass
'27': palace
'28': parking_lot
'29': railway
'30': railway_station
'31': rectangular_farmland
'32': river
'33': roundabout
'34': runway
'35': sea_ice
'36': ship
'37': snowberg
'38': sparse_residential
'39': stadium
'40': storage_tank
'41': tennis_court
'42': terrace
'43': thermal_power_station
'44': wetland
- name: image_id
dtype: string
splits:
- name: train
num_bytes: 254594749.8
num_examples: 18900
- name: validation
num_bytes: 84784207.3
num_examples: 6300
- name: test
num_bytes: 85237234
num_examples: 6300
download_size: 425667137
dataset_size: 424616191.1
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
size_categories:
- 10K<n<100K
license: unknown
task_categories:
- image-classification
Description
RESISC45 dataset is a publicly available benchmark for Remote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU). This dataset contains 31,500 images, covering 45 scene classes with 700 images in each class.
The dataset does not have any default splits. Train, validation, and test splits were based on these definitions here https://github.com/google-research/google-research/blob/master/remote_sensing_representations/README.md#dataset-splits
- Paper: https://arxiv.org/abs/1703.00121.
- Website: https://paperswithcode.com/dataset/resisc45 (original homepage is unresponsive http://www.escience.cn/people/JunweiHan/NWPU-RESISC45.html)
Citation
@article{Cheng_2017,
title={Remote Sensing Image Scene Classification: Benchmark and State of the Art},
volume={105},
ISSN={1558-2256},
url={http://dx.doi.org/10.1109/JPROC.2017.2675998},
DOI={10.1109/jproc.2017.2675998},
number={10},
journal={Proceedings of the IEEE},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
author={Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},
year={2017},
month={Oct},
pages={1865-1883}
}