size_categories:10K<n<100K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: x
    dtype: image
  - name: y
    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
  splits:
  - name: train
    num_bytes: 112545106.0
    num_examples: 50000
  - name: test
    num_bytes: 22564261.0
    num_examples: 10000
  download_size: 142275684
  dataset_size: 135109367.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
