---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': airplane
          '1': apple
          '2': background
          '3': backpack
          '4': banana
          '5': baseball bat
          '6': baseball glove
          '7': bear
          '8': bed
          '9': bench
          '10': bicycle
          '11': bird
          '12': boat
          '13': book
          '14': bottle
          '15': bowl
          '16': broccoli
          '17': bus
          '18': cake
          '19': car
          '20': carrot
          '21': cat
          '22': cell phone
          '23': chair
          '24': clock
          '25': couch
          '26': cow
          '27': cup
          '28': dining table
          '29': dog
          '30': donut
          '31': elephant
          '32': fire hydrant
          '33': fork
          '34': frisbee
          '35': giraffe
          '36': hair drier
          '37': handbag
          '38': horse
          '39': hot dog
          '40': keyboard
          '41': kite
          '42': knife
          '43': laptop
          '44': microwave
          '45': motorcycle
          '46': mouse
          '47': orange
          '48': oven
          '49': parking meter
          '50': person
          '51': pizza
          '52': potted plant
          '53': refrigerator
          '54': remote
          '55': sandwich
          '56': scissors
          '57': sheep
          '58': sink
          '59': skateboard
          '60': skis
          '61': snowboard
          '62': spoon
          '63': sports ball
          '64': stop sign
          '65': suitcase
          '66': surfboard
          '67': teddy bear
          '68': tennis racket
          '69': tie
          '70': toaster
          '71': toilet
          '72': toothbrush
          '73': traffic light
          '74': train
          '75': truck
          '76': tv
          '77': umbrella
          '78': vase
          '79': wine glass
          '80': zebra
  splits:
  - name: train
    num_bytes: 51189054719
    num_examples: 974411
  - name: validation
    num_bytes: 2120664196
    num_examples: 41076
  download_size: 53261239240
  dataset_size: 53309718915
---