|
--- |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: label |
|
dtype: |
|
class_label: |
|
names: |
|
'0': arbor woodland |
|
'1': artificial grassland |
|
'2': dry cropland |
|
'3': garden plot |
|
'4': industrial land |
|
'5': irrigated land |
|
'6': lake |
|
'7': natural grassland |
|
'8': paddy field |
|
'9': pond |
|
'10': river |
|
'11': rural residential |
|
'12': shrub land |
|
'13': traffic land |
|
'14': urban residential |
|
splits: |
|
- name: train |
|
num_bytes: 1777210275 |
|
num_examples: 30000 |
|
download_size: 1263253291 |
|
dataset_size: 1777210275 |
|
license: other |
|
task_categories: |
|
- image-classification |
|
- zero-shot-image-classification |
|
--- |
|
# Dataset Card for "GID" |
|
|
|
## Dataset Description |
|
|
|
- **Paper** [Land-cover classification with high-resolution remote sensing images using transferable deep models](https://www.sciencedirect.com/science/article/pii/S0034425719303414) |
|
|
|
### Licensing Information |
|
|
|
Public domain. |
|
|
|
## Citation Information |
|
|
|
[Land-cover classification with high-resolution remote sensing images using transferable deep models](https://www.sciencedirect.com/science/article/pii/S0034425719303414) |
|
|
|
``` |
|
@article{GID2020, |
|
title = {Land-cover classification with high-resolution remote sensing images using transferable deep models}, |
|
author = {Tong, Xin-Yi and Xia, Gui-Song and Lu, Qikai and Shen, Huanfeng and Li, Shengyang and You, Shucheng and Zhang, Liangpei}, |
|
year = 2020, |
|
journal = {Remote Sensing of Environment}, |
|
volume = 237, |
|
pages = 111322 |
|
} |
|
``` |
