size_categories:10K<n<100K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': goldfish
          '1': fire salamander
          '2': american bullfrog
          '3': tailed frog
          '4': american alligator
          '5': boa constrictor
          '6': trilobite
          '7': scorpion
          '8': southern black widow
          '9': tarantula
          '10': centipede
          '11': koala
          '12': jellyfish
          '13': brain coral
          '14': snail
          '15': sea slug
          '16': american lobster
          '17': spiny lobster
          '18': black stork
          '19': king penguin
          '20': albatross
          '21': dugong
          '22': yorkshire terrier
          '23': golden retriever
          '24': labrador retriever
          '25': german shepherd dog
          '26': standard poodle
          '27': tabby cat
          '28': persian cat
          '29': egyptian mau
          '30': cougar
          '31': lion
          '32': brown bear
          '33': ladybug
          '34': grasshopper
          '35': stick insect
          '36': cockroach
          '37': praying mantis
          '38': dragonfly
          '39': monarch butterfly
          '40': sulphur butterfly
          '41': sea cucumber
          '42': guinea pig
          '43': pig
          '44': ox
          '45': bison
          '46': bighorn sheep
          '47': gazelle
          '48': arabian camel
          '49': orangutan
          '50': chimpanzee
          '51': baboon
          '52': african bush elephant
          '53': red panda
          '54': abacus
          '55': academic gown
          '56': altar
          '57': backpack
          '58': baluster / handrail
          '59': barbershop
          '60': barn
          '61': barrel
          '62': basketball
          '63': bathtub
          '64': station wagon
          '65': lighthouse
          '66': beaker
          '67': beer bottle
          '68': bikini
          '69': binoculars
          '70': birdhouse
          '71': bow tie
          '72': brass memorial plaque
          '73': bucket
          '74': high speed train
          '75': butcher shop
          '76': candle
          '77': cannon
          '78': cardigan
          '79': automated teller machine
          '80': cd player
          '81': storage chest
          '82': christmas stocking
          '83': cliff dwelling
          '84': computer keyboard
          '85': candy store
          '86': convertible
          '87': crane bird
          '88': dam
          '89': desk
          '90': dining table
          '91': dumbbell
          '92': flagpole
          '93': fly
          '94': fountain
          '95': freight car
          '96': frying pan
          '97': fur coat
          '98': gas mask or respirator
          '99': go kart
          '100': gondola
          '101': hourglass
          '102': ipod
          '103': rickshaw
          '104': kimono
          '105': lampshade
          '106': lawn mower
          '107': lifeboat
          '108': limousine
          '109': magnetic compass
          '110': maypole
          '111': military uniform
          '112': miniskirt
          '113': moving van
          '114': neck brace
          '115': obelisk
          '116': oboe
          '117': pipe organ
          '118': parking meter
          '119': payphone
          '120': picket fence
          '121': pill bottle
          '122': plunger
          '123': police van
          '124': poncho
          '125': soda bottle
          '126': potter's wheel
          '127': missile
          '128': punching bag
          '129': refrigerator
          '130': remote control
          '131': rocking chair
          '132': rugby ball
          '133': sandal
          '134': school bus
          '135': scoreboard
          '136': sewing machine
          '137': snorkel
          '138': sock
          '139': sombrero
          '140': space heater
          '141': spider web
          '142': sports car
          '143': through arch bridge
          '144': stopwatch
          '145': sunglasses
          '146': suspension bridge
          '147': swim trunks / shorts
          '148': syringe
          '149': teapot
          '150': teddy bear
          '151': thatched roof
          '152': torch
          '153': tractor
          '154': triumphal arch
          '155': trolleybus
          '156': turnstile
          '157': umbrella
          '158': vestment
          '159': viaduct
          '160': volleyball
          '161': water jug
          '162': water tower
          '163': wok
          '164': wooden spoon
          '165': comic book
          '166': fishing casting reel
          '167': guacamole
          '168': ice cream
          '169': popsicle
          '170': goose
          '171': drumstick
          '172': plate
          '173': pretzel
          '174': mashed potatoes
          '175': cauliflower
          '176': bell pepper
          '177': lemon
          '178': banana
          '179': pomegranate
          '180': meatloaf
          '181': pizza
          '182': pot pie
          '183': espresso
          '184': bee
          '185': apron
          '186': pole
          '187': chihuahua
          '188': mountain
          '189': cliff
          '190': coral reef
          '191': lakeshore
          '192': beach
          '193': acorn
          '194': broom
          '195': mushroom
          '196': metal nail
          '197': chain
          '198': slug
          '199': orange
  - name: id
    dtype: int64
  - name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full
    sequence: string
  - name: Attributes_ViT_L_14_descriptors_text_davinci_003_full
    sequence: string
  - name: clip_tags_ViT_L_14_simple_specific
    dtype: string
  - name: clip_tags_ViT_L_14_ensemble_specific
    dtype: string
  - name: clip_tags_LAION_ViT_H_14_2B_simple_specific
    dtype: string
  - name: clip_tags_LAION_ViT_H_14_2B_ensemble_specific
    dtype: string
  splits:
  - name: validation
    num_bytes: 25528461.0
    num_examples: 10000
  download_size: 15791743
  dataset_size: 25528461.0
---
# Dataset Card for "TinyImagenet_validation"

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