---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label_1
    dtype:
      class_label:
        names:
          '0': residential land
          '1': water area
          '2': public service land
          '3': agriculture land
          '4': unutilized land
          '5': transportation land
          '6': commercial land
          '7': industrial land
  - name: label_2
    dtype:
      class_label:
        names:
          '0': port area
          '1': river
          '2': airport area
          '3': factory area
          '4': mobile home park
          '5': highway area
          '6': commercial area
          '7': special land
          '8': power station
          '9': railway area
          '10': religious land
          '11': apartment
          '12': grassland
          '13': woodland
          '14': dam
          '15': rock land
          '16': detached house
          '17': lake
          '18': mining area
          '19': island
          '20': sports land
          '21': desert
          '22': sparse shrub land
          '23': leisure land
          '24': bare land
          '25': ice land
          '26': beach
          '27': arable land
  - name: label_3
    dtype:
      class_label:
        names:
          '0': intersection
          '1': roundabout
          '2': river
          '3': parking lot
          '4': orchard
          '5': apron
          '6': helipad
          '7': church
          '8': cemetery
          '9': mobile home park
          '10': golf course
          '11': wastewater plant
          '12': commercial area
          '13': substation
          '14': ground track field
          '15': railway
          '16': meadow
          '17': tennis court
          '18': mine
          '19': storage tank
          '20': apartment
          '21': swimming pool
          '22': road
          '23': forest
          '24': dam
          '25': bridge
          '26': stadium
          '27': basketball court
          '28': rock land
          '29': terraced field
          '30': detached house
          '31': train station
          '32': lake
          '33': wind turbine
          '34': viaduct
          '35': island
          '36': solar power plant
          '37': works
          '38': desert
          '39': sparse shrub land
          '40': runway
          '41': greenhouse
          '42': pier
          '43': paddy field
          '44': baseball field
          '45': ice land
          '46': bare land
          '47': oil field
          '48': dry field
          '49': beach
          '50': quarry
  splits:
  - name: train
    num_bytes: 1669220279.0
    num_examples: 10000
  download_size: 0
  dataset_size: 1669220279.0
---
# Dataset Card for "Million-AID"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)