# 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}
}
```
license:cc-by-4.0 region:us
{"license": "cc-by-4.0", "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}}
TAGS
#license-cc-by-4.0 #region-us 

# Dataset Card for "MLRSNet"

## Dataset Description

- Paper: MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding

### Licensing Information

CC BY 4.0



MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding


# Dataset Card for "MLRSNet" ## Dataset Description

- Paper: MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding ### Licensing Information

CC BY 4.0



MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding
TAGS
#license-cc-by-4.0 #region-us 
 # Dataset Card for "MLRSNet" ## Dataset Description

- Paper: MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding ### Licensing Information

CC BY 4.0



MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding
passage: TAGS
#license-cc-by-4.0 #region-us 
# Dataset Card for "MLRSNet"## Dataset Description

- Paper: MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding### Licensing Information

CC BY 4.0



MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding