size_categories:1K<n<10K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': 000_airplane
          '1': 001_alarm_clock
          '2': 002_angel
          '3': 003_ant
          '4': 004_apple
          '5': 005_arm
          '6': 006_armchair
          '7': 007_ashtray
          '8': 008_axe
          '9': 009_backpack
          '10': 010_banana
          '11': 011_barn
          '12': 012_baseball_bat
          '13': 013_basket
          '14': 014_bathtub
          '15': 015_bear_(animal)
          '16': 016_bed
          '17': 017_bee
          '18': 018_beer-mug
          '19': 019_bell
          '20': 020_bench
          '21': 021_bicycle
          '22': 022_binoculars
          '23': 023_blimp
          '24': 024_book
          '25': 025_bookshelf
          '26': 026_boomerang
          '27': 027_bottle_opener
          '28': 028_bowl
          '29': 029_brain
          '30': 030_bread
          '31': 031_bridge
          '32': 032_bulldozer
          '33': 033_bus
          '34': 034_bush
          '35': 035_butterfly
          '36': 036_cabinet
          '37': 037_cactus
          '38': 038_cake
          '39': 039_calculator
          '40': 040_camel
          '41': 041_camera
          '42': 042_candle
          '43': 043_cannon
          '44': 044_canoe
          '45': 045_car_(sedan)
          '46': 046_carrot
          '47': 047_castle
          '48': 048_cat
          '49': 049_cell_phone
          '50': 050_chair
          '51': 051_chandelier
          '52': 052_church
          '53': 053_cigarette
          '54': 054_cloud
          '55': 055_comb
          '56': 056_computer_monitor
          '57': 057_computer-mouse
          '58': 058_couch
          '59': 059_cow
          '60': 060_crab
          '61': 061_crane_(machine)
          '62': 062_crocodile
          '63': 063_crown
          '64': 064_cup
          '65': 065_diamond
          '66': 066_dog
          '67': 067_dolphin
          '68': 068_donut
          '69': 069_door
          '70': 070_door_handle
          '71': 071_dragon
          '72': 072_duck
          '73': 073_ear
          '74': 074_elephant
          '75': 075_envelope
          '76': 076_eye
          '77': 077_eyeglasses
          '78': 078_face
          '79': 079_fan
          '80': 080_feather
          '81': 081_fire_hydrant
          '82': 082_fish
          '83': 083_flashlight
          '84': 084_floor_lamp
          '85': 085_flower_with_stem
          '86': 086_flying_bird
          '87': 087_flying_saucer
          '88': 088_foot
          '89': 089_fork
          '90': 090_frog
          '91': 091_frying-pan
          '92': 092_giraffe
          '93': 093_grapes
          '94': 094_grenade
          '95': 095_guitar
          '96': 096_hamburger
          '97': 097_hammer
          '98': 098_hand
          '99': 099_harp
          '100': 100_hat
          '101': 101_head
          '102': 102_head-phones
          '103': 103_hedgehog
          '104': 104_helicopter
          '105': 105_helmet
          '106': 106_horse
          '107': 107_hot_air_balloon
          '108': 108_hot-dog
          '109': 109_hourglass
          '110': 110_house
          '111': 111_human-skeleton
          '112': 112_ice-cream-cone
          '113': 113_ipod
          '114': 114_kangaroo
          '115': 115_key
          '116': 116_keyboard
          '117': 117_knife
          '118': 118_ladder
          '119': 119_laptop
          '120': 120_leaf
          '121': 121_lightbulb
          '122': 122_lighter
          '123': 123_lion
          '124': 124_lobster
          '125': 125_loudspeaker
          '126': 126_mailbox
          '127': 127_megaphone
          '128': 128_mermaid
          '129': 129_microphone
          '130': 130_microscope
          '131': 131_monkey
          '132': 132_moon
          '133': 133_mosquito
          '134': 134_motorbike
          '135': 135_mouse_(animal)
          '136': 136_mouth
          '137': 137_mug
          '138': 138_mushroom
          '139': 139_nose
          '140': 140_octopus
          '141': 141_owl
          '142': 142_palm_tree
          '143': 143_panda
          '144': 144_paper_clip
          '145': 145_parachute
          '146': 146_parking_meter
          '147': 147_parrot
          '148': 148_pear
          '149': 149_pen
          '150': 150_penguin
          '151': 151_person_sitting
          '152': 152_person_walking
          '153': 153_piano
          '154': 154_pickup_truck
          '155': 155_pig
          '156': 156_pigeon
          '157': 157_pineapple
          '158': 158_pipe_(for_smoking)
          '159': 159_pizza
          '160': 160_potted_plant
          '161': 161_power_outlet
          '162': 162_present
          '163': 163_pretzel
          '164': 164_pumpkin
          '165': 165_purse
          '166': 166_rabbit
          '167': 167_race_car
          '168': 168_radio
          '169': 169_rainbow
          '170': 170_revolver
          '171': 171_rifle
          '172': 172_rollerblades
          '173': 173_rooster
          '174': 174_sailboat
          '175': 175_santa_claus
          '176': 176_satellite
          '177': 177_satellite_dish
          '178': 178_saxophone
          '179': 179_scissors
          '180': 180_scorpion
          '181': 181_screwdriver
          '182': 182_sea_turtle
          '183': 183_seagull
          '184': 184_shark
          '185': 185_sheep
          '186': 186_ship
          '187': 187_shoe
          '188': 188_shovel
          '189': 189_skateboard
          '190': 190_skull
          '191': 191_skyscraper
          '192': 192_snail
          '193': 193_snake
          '194': 194_snowboard
          '195': 195_snowman
          '196': 196_socks
          '197': 197_space_shuttle
          '198': 198_speed-boat
          '199': 199_spider
          '200': 200_sponge_bob
          '201': 201_spoon
          '202': 202_squirrel
          '203': 203_standing_bird
          '204': 204_stapler
          '205': 205_strawberry
          '206': 206_streetlight
          '207': 207_submarine
          '208': 208_suitcase
          '209': 209_sun
          '210': 210_suv
          '211': 211_swan
          '212': 212_sword
          '213': 213_syringe
          '214': 214_t-shirt
          '215': 215_table
          '216': 216_tablelamp
          '217': 217_teacup
          '218': 218_teapot
          '219': 219_teddy-bear
          '220': 220_telephone
          '221': 221_tennis-racket
          '222': 222_tent
          '223': 223_tiger
          '224': 224_tire
          '225': 225_toilet
          '226': 226_tomato
          '227': 227_tooth
          '228': 228_toothbrush
          '229': 229_tractor
          '230': 230_traffic_light
          '231': 231_train
          '232': 232_tree
          '233': 233_trombone
          '234': 234_trousers
          '235': 235_truck
          '236': 236_trumpet
          '237': 237_tv
          '238': 238_umbrella
          '239': 239_van
          '240': 240_vase
          '241': 241_violin
          '242': 242_walkie_talkie
          '243': 243_wheel
          '244': 244_wheelbarrow
          '245': 245_windmill
          '246': 246_wine-bottle
          '247': 247_wineglass
          '248': 248_wrist-watch
          '249': 249_zebra
          '250': mistery_category
  splits:
  - name: train
    num_bytes: 151506666.84822693
    num_examples: 5136
  download_size: 148171712
  dataset_size: 151506666.84822693
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
