---
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

- **Paper** [CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification](https://www.mdpi.com/1424-8220/20/4/1226/pdf)
- 
### Licensing Information

For academic purposes.

## Citation Information

[CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification](https://www.mdpi.com/1424-8220/20/4/1226/pdf)

```
@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,
}
```