mini-imagenet / README.md
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': house finch, linnet, Carpodacus mexicanus
            '1': robin, American robin, Turdus migratorius
            '2': triceratops
            '3': green mamba
            '4': harvestman, daddy longlegs, Phalangium opilio
            '5': toucan
            '6': goose
            '7': jellyfish
            '8': nematode, nematode worm, roundworm
            '9': >-
              king crab, Alaska crab, Alaskan king crab, Alaska king crab,
              Paralithodes camtschatica
            '10': dugong, Dugong dugon
            '11': Walker hound, Walker foxhound
            '12': Ibizan hound, Ibizan Podenco
            '13': Saluki, gazelle hound
            '14': golden retriever
            '15': Gordon setter
            '16': komondor
            '17': boxer
            '18': Tibetan mastiff
            '19': French bulldog
            '20': malamute, malemute, Alaskan malamute
            '21': dalmatian, coach dog, carriage dog
            '22': Newfoundland, Newfoundland dog
            '23': miniature poodle
            '24': white wolf, Arctic wolf, Canis lupus tundrarum
            '25': African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus
            '26': Arctic fox, white fox, Alopex lagopus
            '27': lion, king of beasts, Panthera leo
            '28': meerkat, mierkat
            '29': ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle
            '30': rhinoceros beetle
            '31': ant, emmet, pismire
            '32': black-footed ferret, ferret, Mustela nigripes
            '33': three-toed sloth, ai, Bradypus tridactylus
            '34': rock beauty, Holocanthus tricolor
            '35': aircraft carrier, carrier, flattop, attack aircraft carrier
            '36': >-
              ashcan, trash can, garbage can, wastebin, ash bin, ash-bin,
              ashbin, dustbin, trash barrel, trash bin
            '37': barrel, cask
            '38': beer bottle
            '39': bookshop, bookstore, bookstall
            '40': cannon
            '41': carousel, carrousel, merry-go-round, roundabout, whirligig
            '42': carton
            '43': catamaran
            '44': chime, bell, gong
            '45': clog, geta, patten, sabot
            '46': cocktail shaker
            '47': combination lock
            '48': crate
            '49': cuirass
            '50': dishrag, dishcloth
            '51': dome
            '52': electric guitar
            '53': file, file cabinet, filing cabinet
            '54': fire screen, fireguard
            '55': frying pan, frypan, skillet
            '56': garbage truck, dustcart
            '57': hair slide
            '58': holster
            '59': horizontal bar, high bar
            '60': hourglass
            '61': iPod
            '62': lipstick, lip rouge
            '63': miniskirt, mini
            '64': missile
            '65': mixing bowl
            '66': oboe, hautboy, hautbois
            '67': organ, pipe organ
            '68': parallel bars, bars
            '69': pencil box, pencil case
            '70': photocopier
            '71': poncho
            '72': prayer rug, prayer mat
            '73': reel
            '74': school bus
            '75': scoreboard
            '76': slot, one-armed bandit
            '77': snorkel
            '78': solar dish, solar collector, solar furnace
            '79': spider web, spider's web
            '80': stage
            '81': tank, army tank, armored combat vehicle, armoured combat vehicle
            '82': theater curtain, theatre curtain
            '83': tile roof
            '84': tobacco shop, tobacconist shop, tobacconist
            '85': unicycle, monocycle
            '86': upright, upright piano
            '87': vase
            '88': wok
            '89': worm fence, snake fence, snake-rail fence, Virginia fence
            '90': yawl
            '91': street sign
            '92': consomme
            '93': trifle
            '94': hotdog, hot dog, red hot
            '95': orange
            '96': cliff, drop, drop-off
            '97': coral reef
            '98': bolete
            '99': ear, spike, capitulum
  splits:
    - name: train
      num_bytes: 5661216817
      num_examples: 50000
    - name: validation
      num_bytes: 1127476741
      num_examples: 10000
    - name: test
      num_bytes: 663008304
      num_examples: 5000
  download_size: 7433313256
  dataset_size: 7451701862
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*