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README.md DELETED
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- ---
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- dataset_info:
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- features:
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- - name: label
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- sequence:
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- class_label:
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- names:
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- '0': airplane
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- '1': airport
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- '2': bare soil
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- '3': baseball diamond
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- '4': basketball court
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- '5': beach
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- '6': bridge
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- '7': buildings
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- '8': cars
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- '9': chaparral
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- '10': cloud
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- '11': containers
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- '12': crosswalk
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- '13': dense residential area
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- '14': desert
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- '15': dock
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- '16': factory
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- '17': field
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- '18': football field
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- '19': forest
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- '20': freeway
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- '21': golf course
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- '22': grass
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- '23': greenhouse
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- '24': gully
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- '25': habor
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- '26': intersection
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- '27': island
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- '28': lake
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- '29': mobile home
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- '30': mountain
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- '31': overpass
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- '32': park
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- '33': parking lot
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- '34': parkway
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- '35': pavement
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- '36': railway
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- '37': railway station
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- '38': river
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- '39': road
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- '40': roundabout
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- '41': runway
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- '42': sand
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- '43': sea
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- '44': ships
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- '45': snow
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- '46': snowberg
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- '47': sparse residential area
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- '48': stadium
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- '49': swimming pool
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- '50': tanks
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- '51': tennis court
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- '52': terrace
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- '53': track
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- '54': trail
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- '55': transmission tower
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- '56': trees
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- '57': water
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- '58': wetland
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- '59': wind turbine
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- - name: image
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- dtype: image
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- splits:
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- - name: train
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- num_bytes: 1327782862.875
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- num_examples: 109161
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- download_size: 1304951717
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- dataset_size: 1327782862.875
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- license: cc-by-4.0
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- ---
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- # Dataset Card for "MLRSNet"
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-
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- ## Dataset Description
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-
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- - **Paper:** [MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding](https://www.sciencedirect.com/science/article/pii/S0924271620302677)
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-
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- ### Licensing Information
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-
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- CC BY 4.0
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-
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- ## Citation Information
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-
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- [MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding](https://www.sciencedirect.com/science/article/pii/S0924271620302677)
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-
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- ```
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- @article{qi2020mlrsnet,
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- title = {MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding},
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- 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},
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- year = 2020,
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- journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
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- publisher = {Elsevier},
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- volume = 169,
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- pages = {337--350}
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- }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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