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Datasets:
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ImageNet-D

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ImageNet-D
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---
license: mit
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': alarm_clock
          '1': backpack
          '2': banana
          '3': band_aid
          '4': bath_towel
          '5': beer_bottle
          '6': bench
          '7': bicycle
          '8': binder_closed
          '9': bottle_cap
          '10': bread_loaf
          '11': broom
          '12': bucket
          '13': can_opener
          '14': candle
          '15': cellphone
          '16': chair
          '17': cleaver
          '18': clothes_hamper
          '19': coffee_or_french_press
          '20': combination_lock
          '21': computer_mouse
          '22': desk_lamp
          '23': dishcloth
          '24': doormat
          '25': dress_shoe_men
          '26': drill
          '27': envelope
          '28': fan
          '29': frying_pan
          '30': gown
          '31': hair_dryer
          '32': hammer
          '33': helmet
          '34': jeans
          '35': keyboard
          '36': ladle
          '37': lampshade
          '38': laptop_open
          '39': lemon
          '40': letter_opener
          '41': lighter
          '42': lipstick
          '43': matchstick
          '44': microwave
          '45': mixing_or_salad_bowl
          '46': monitor
          '47': mug
          '48': nail_fastener
          '49': padlock
          '50': paintbrush
          '51': paper_towel
          '52': pen
          '53': pill_bottle
          '54': pillow
          '55': pitcher
          '56': plastic_bag
          '57': plate
          '58': plunger
          '59': pop_can
          '60': portable_heater
          '61': printer
          '62': remote_control
          '63': ruler
          '64': running_shoe
          '65': salt_shaker
          '66': sandal
          '67': screw
          '68': shopping_basket
          '69': shovel
          '70': skirt
          '71': sleeping_bag
          '72': soap_dispenser
          '73': sock
          '74': soup_bowl
          '75': spatula
          '76': speaker
          '77': still_camera
          '78': suit_jacket
          '79': sunglasses
          '80': sweater
          '81': t_shirt
          '82': tea_cup
          '83': teapot
          '84': teddy_bear
          '85': tie
          '86': toaster
          '87': toilet_paper_roll
          '88': trash_bin
          '89': tray
          '90': tv
          '91': umbrella
          '92': vacuum_cleaner
          '93': vase
          '94': wallet
          '95': watch
          '96': water_bottle
          '97': weight_exercise
          '98': weight_scale
          '99': wheel
          '100': whistle
          '101': winter_glove
          '102': wok
  splits:
  - name: train
    num_bytes: 4799942232.235
    num_examples: 4835
  download_size: 4828836662
  dataset_size: 4799942232.235
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---