cifar100 / README.md
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metadata
dataset_info:
  features:
    - name: img
      dtype: image
    - name: fine_label
      dtype:
        class_label:
          names:
            '0': apple
            '1': aquarium_fish
            '2': baby
            '3': bear
            '4': beaver
            '5': bed
            '6': bee
            '7': beetle
            '8': bicycle
            '9': bottle
            '10': bowl
            '11': boy
            '12': bridge
            '13': bus
            '14': butterfly
            '15': camel
            '16': can
            '17': castle
            '18': caterpillar
            '19': cattle
            '20': chair
            '21': chimpanzee
            '22': clock
            '23': cloud
            '24': cockroach
            '25': couch
            '26': cra
            '27': crocodile
            '28': cup
            '29': dinosaur
            '30': dolphin
            '31': elephant
            '32': flatfish
            '33': forest
            '34': fox
            '35': girl
            '36': hamster
            '37': house
            '38': kangaroo
            '39': keyboard
            '40': lamp
            '41': lawn_mower
            '42': leopard
            '43': lion
            '44': lizard
            '45': lobster
            '46': man
            '47': maple_tree
            '48': motorcycle
            '49': mountain
            '50': mouse
            '51': mushroom
            '52': oak_tree
            '53': orange
            '54': orchid
            '55': otter
            '56': palm_tree
            '57': pear
            '58': pickup_truck
            '59': pine_tree
            '60': plain
            '61': plate
            '62': poppy
            '63': porcupine
            '64': possum
            '65': rabbit
            '66': raccoon
            '67': ray
            '68': road
            '69': rocket
            '70': rose
            '71': sea
            '72': seal
            '73': shark
            '74': shrew
            '75': skunk
            '76': skyscraper
            '77': snail
            '78': snake
            '79': spider
            '80': squirrel
            '81': streetcar
            '82': sunflower
            '83': sweet_pepper
            '84': table
            '85': tank
            '86': telephone
            '87': television
            '88': tiger
            '89': tractor
            '90': train
            '91': trout
            '92': tulip
            '93': turtle
            '94': wardrobe
            '95': whale
            '96': willow_tree
            '97': wolf
            '98': woman
            '99': worm
    - name: coarse_label
      dtype:
        class_label:
          names:
            '0': aquatic_mammals
            '1': fish
            '2': flowers
            '3': food_containers
            '4': fruit_and_vegetables
            '5': household_electrical_devices
            '6': household_furniture
            '7': insects
            '8': large_carnivores
            '9': large_man-made_outdoor_things
            '10': large_natural_outdoor_scenes
            '11': large_omnivores_and_herbivores
            '12': medium_mammals
            '13': non-insect_invertebrates
            '14': people
            '15': reptiles
            '16': small_mammals
            '17': trees
            '18': vehicles_1
            '19': vehicles_2
    - name: img64
      dtype: string
  splits:
    - name: train
      num_bytes: 263907842
      num_examples: 50000
    - name: test
      num_bytes: 52910173
      num_examples: 10000
  download_size: 335856772
  dataset_size: 316818015
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*