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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': aircraft carrier |
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'1': airplane |
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'2': alarm clock |
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'3': ambulance |
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'4': angel |
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'5': animal migration |
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'6': ant |
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'7': anvil |
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'8': apple |
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'9': arm |
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'10': asparagus |
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'11': axe |
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'12': backpack |
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'13': banana |
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'14': bandage |
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'15': barn |
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'16': baseball bat |
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'17': baseball |
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'18': basket |
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'19': basketball |
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'20': bat |
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'21': bathtub |
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'22': beach |
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'23': bear |
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'24': beard |
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'25': bed |
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'26': bee |
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'27': belt |
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'28': bench |
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'29': bicycle |
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'30': binoculars |
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'31': bird |
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'32': birthday cake |
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'33': blackberry |
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'34': blueberry |
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'35': book |
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'36': boomerang |
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'37': bottlecap |
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'38': bowtie |
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'39': bracelet |
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'40': brain |
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'41': bread |
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'42': bridge |
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'43': broccoli |
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'44': broom |
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'45': bucket |
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'46': bulldozer |
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'47': bus |
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'48': bush |
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'49': butterfly |
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'50': cactus |
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'51': cake |
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'52': calculator |
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'53': calendar |
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'54': camel |
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'55': camera |
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'56': camouflage |
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'57': campfire |
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'58': candle |
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'59': cannon |
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'60': canoe |
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'61': car |
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'62': carrot |
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'63': castle |
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'64': cat |
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'65': ceiling fan |
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'66': cell phone |
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'67': cello |
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'68': chair |
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'69': chandelier |
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'70': church |
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'71': circle |
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'72': clarinet |
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'73': clock |
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'74': cloud |
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'75': coffee cup |
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'76': compass |
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'77': computer |
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'78': cookie |
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'79': cooler |
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'80': couch |
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'81': cow |
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'82': crab |
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'83': crayon |
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'84': crocodile |
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'85': crown |
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'86': cruise ship |
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'87': cup |
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'88': diamond |
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'89': dishwasher |
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'90': diving board |
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'91': dog |
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'92': dolphin |
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'93': donut |
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'94': door |
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'95': dragon |
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'96': dresser |
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'97': drill |
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'98': drums |
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'99': duck |
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'100': dumbbell |
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'101': ear |
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'102': elbow |
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'103': elephant |
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'104': envelope |
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'105': eraser |
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'106': eye |
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'107': eyeglasses |
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'108': face |
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'109': fan |
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'110': feather |
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'111': fence |
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'112': finger |
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'113': fire hydrant |
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'114': fireplace |
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'115': firetruck |
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'116': fish |
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'117': flamingo |
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'118': flashlight |
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'119': flip flops |
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'120': floor lamp |
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'121': flower |
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'122': flying saucer |
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'123': foot |
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'124': fork |
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'125': frog |
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'126': frying pan |
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'127': garden hose |
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'128': garden |
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'129': giraffe |
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'130': goatee |
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'131': golf club |
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'132': grapes |
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'133': grass |
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'134': guitar |
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'135': hamburger |
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'136': hammer |
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'137': hand |
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'138': harp |
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'139': hat |
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'140': headphones |
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'141': hedgehog |
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'142': helicopter |
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'143': helmet |
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'144': hexagon |
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'145': hockey puck |
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'146': hockey stick |
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'147': horse |
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'148': hospital |
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'149': hot air balloon |
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'150': hot dog |
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'151': hot tub |
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'152': hourglass |
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'153': house plant |
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'154': house |
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'155': hurricane |
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'156': ice cream |
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'157': jacket |
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'158': jail |
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'159': kangaroo |
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'160': key |
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'161': keyboard |
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'162': knee |
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'163': knife |
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'164': ladder |
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'165': lantern |
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'166': laptop |
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'167': leaf |
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'168': leg |
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'169': light bulb |
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'170': lighter |
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'171': lighthouse |
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'172': lightning |
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'173': line |
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'174': lion |
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'175': lipstick |
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'176': lobster |
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'177': lollipop |
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'178': mailbox |
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'179': map |
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'180': marker |
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'181': matches |
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'182': megaphone |
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'183': mermaid |
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'184': microphone |
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'185': microwave |
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'186': monkey |
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'187': moon |
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'188': mosquito |
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'189': motorbike |
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'190': mountain |
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'191': mouse |
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'192': moustache |
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'193': mouth |
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'194': mug |
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'195': mushroom |
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'196': nail |
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'197': necklace |
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'198': nose |
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'199': ocean |
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'200': octagon |
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'201': octopus |
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'202': onion |
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'203': oven |
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'204': owl |
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'205': paint can |
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'206': paintbrush |
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'207': palm tree |
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'208': panda |
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'209': pants |
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'210': paper clip |
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'211': parachute |
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'212': parrot |
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'213': passport |
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'214': peanut |
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'215': pear |
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'216': peas |
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'217': pencil |
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'218': penguin |
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'219': piano |
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'220': pickup truck |
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'221': picture frame |
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'222': pig |
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'223': pillow |
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'224': pineapple |
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'225': pizza |
|
'226': pliers |
|
'227': police car |
|
'228': pond |
|
'229': pool |
|
'230': popsicle |
|
'231': postcard |
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'232': potato |
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'233': power outlet |
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'234': purse |
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'235': rabbit |
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'236': raccoon |
|
'237': radio |
|
'238': rain |
|
'239': rainbow |
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'240': rake |
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'241': remote control |
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'242': rhinoceros |
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'243': rifle |
|
'244': river |
|
'245': roller coaster |
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'246': rollerskates |
|
'247': sailboat |
|
'248': sandwich |
|
'249': saw |
|
'250': saxophone |
|
'251': school bus |
|
'252': scissors |
|
'253': scorpion |
|
'254': screwdriver |
|
'255': sea turtle |
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'256': see saw |
|
'257': shark |
|
'258': sheep |
|
'259': shoe |
|
'260': shorts |
|
'261': shovel |
|
'262': sink |
|
'263': skateboard |
|
'264': skull |
|
'265': skyscraper |
|
'266': sleeping bag |
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'267': smiley face |
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'268': snail |
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'269': snake |
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'270': snorkel |
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'271': snowflake |
|
'272': snowman |
|
'273': soccer ball |
|
'274': sock |
|
'275': speedboat |
|
'276': spider |
|
'277': spoon |
|
'278': spreadsheet |
|
'279': square |
|
'280': squiggle |
|
'281': squirrel |
|
'282': stairs |
|
'283': star |
|
'284': steak |
|
'285': stereo |
|
'286': stethoscope |
|
'287': stitches |
|
'288': stop sign |
|
'289': stove |
|
'290': strawberry |
|
'291': streetlight |
|
'292': string bean |
|
'293': submarine |
|
'294': suitcase |
|
'295': sun |
|
'296': swan |
|
'297': sweater |
|
'298': swing set |
|
'299': sword |
|
'300': syringe |
|
'301': t-shirt |
|
'302': table |
|
'303': teapot |
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'304': teddy-bear |
|
'305': telephone |
|
'306': television |
|
'307': tennis racquet |
|
'308': tent |
|
'309': The Eiffel Tower |
|
'310': The Great Wall of China |
|
'311': The Mona Lisa |
|
'312': tiger |
|
'313': toaster |
|
'314': toe |
|
'315': toilet |
|
'316': tooth |
|
'317': toothbrush |
|
'318': toothpaste |
|
'319': tornado |
|
'320': tractor |
|
'321': traffic light |
|
'322': train |
|
'323': tree |
|
'324': triangle |
|
'325': trombone |
|
'326': truck |
|
'327': trumpet |
|
'328': umbrella |
|
'329': underwear |
|
'330': van |
|
'331': vase |
|
'332': violin |
|
'333': washing machine |
|
'334': watermelon |
|
'335': waterslide |
|
'336': whale |
|
'337': wheel |
|
'338': windmill |
|
'339': wine bottle |
|
'340': wine glass |
|
'341': wristwatch |
|
'342': yoga |
|
'343': zebra |
|
'344': zigzag |
|
splits: |
|
- name: train |
|
num_bytes: 1959163805.0 |
|
num_examples: 5000000 |
|
download_size: 1902664696 |
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dataset_size: 1959163805.0 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
--- |
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