README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      sequence:
        class_label:
          names:
            '0': apron
            '1': baseball field
            '2': basketball field
            '3': beach
            '4': bridge
            '5': cemetery
            '6': commercial
            '7': farmland
            '8': woodland
            '9': golf course
            '10': greenhouse
            '11': helipad
            '12': lake or pond
            '13': oil field
            '14': orchard
            '15': parking lot
            '16': park
            '17': pier
            '18': port
            '19': quarry
            '20': railway
            '21': residential
            '22': river
            '23': roundabout
            '24': runway
            '25': soccer
            '26': solar panel
            '27': sparse shrub
            '28': stadium
            '29': storage tank
            '30': tennis court
            '31': train station
            '32': wastewater plant
            '33': wind turbine
            '34': works
            '35': sea
  splits:
    - name: train
      num_bytes: 867506522
      num_examples: 14000
  download_size: 867005851
  dataset_size: 867506522
license: mit
task_categories:
  - image-classification
  - zero-shot-image-classification

Dataset Card for "MultiScene"

Dataset Description

• Paper MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
• Split Clean

Split Information

This HuggingFace dataset repository contains just the 'Clean' split.

Licensing Information

MIT.

Citation Information

MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images

@article{hua2021multiscene,
  title        = {MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images},
  author       = {Hua, Y. and Mou, L. and Jin, P. and Zhu, X. X.},
  year         = {in press},
  journal      = {IEEE Transactions on Geoscience and Remote Sensing}
}