---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    sequence:
      class_label:
        names:
          '0': airplane
          '1': airport
          '2': bare soil
          '3': baseball diamond
          '4': basketball court
          '5': beach
          '6': bridge
          '7': buildings
          '8': cars
          '9': chaparral
          '10': cloud
          '11': containers
          '12': crosswalk
          '13': dense residential area
          '14': desert
          '15': dock
          '16': factory
          '17': field
          '18': football field
          '19': forest
          '20': freeway
          '21': golf course
          '22': grass
          '23': greenhouse
          '24': gully
          '25': habor
          '26': intersection
          '27': island
          '28': lake
          '29': mobile home
          '30': mountain
          '31': overpass
          '32': park
          '33': parking lot
          '34': parkway
          '35': pavement
          '36': railway
          '37': railway station
          '38': river
          '39': road
          '40': roundabout
          '41': runway
          '42': sand
          '43': sea
          '44': ships
          '45': snow
          '46': snowberg
          '47': sparse residential area
          '48': stadium
          '49': swimming pool
          '50': tanks
          '51': tennis court
          '52': terrace
          '53': track
          '54': trail
          '55': transmission tower
          '56': trees
          '57': water
          '58': wetland
          '59': wind turbine
  splits:
  - name: train
    num_bytes: 1327782862.875
    num_examples: 109161
  download_size: 1304951717
  dataset_size: 1327782862.875
license: cc-by-4.0
---
# Dataset Card for "MLRSNet"

## Dataset Description

- **Paper:** [MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding](https://www.sciencedirect.com/science/article/pii/S0924271620302677)

### Licensing Information

CC BY 4.0

## Citation Information

[MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding](https://www.sciencedirect.com/science/article/pii/S0924271620302677)

```
@article{qi2020mlrsnet,
  title        = {MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding},
  author       = {Qi, Xiaoman and Zhu, Panpan and Wang, Yuebin and Zhang, Liqiang and Peng, Junhuan and Wu, Mengfan and Chen, Jialong and Zhao, Xudong and Zang, Ning and Mathiopoulos, P Takis},
  year         = 2020,
  journal      = {ISPRS Journal of Photogrammetry and Remote Sensing},
  publisher    = {Elsevier},
  volume       = 169,
  pages        = {337--350}
}
```