coco-car-instance / README.md
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: objects
      struct:
        - name: bbox
          sequence:
            sequence: float32
        - name: categories
          sequence:
            class_label:
              names:
                '0': person
                '1': bicycle
                '2': car
                '3': motorcycle
                '4': airplane
                '5': bus
                '6': train
                '7': truck
                '8': boat
                '9': traffic light
                '10': fire hydrant
                '11': stop sign
                '12': parking meter
                '13': bench
                '14': bird
                '15': cat
                '16': dog
                '17': horse
                '18': sheep
                '19': cow
                '20': elephant
                '21': bear
                '22': zebra
                '23': giraffe
                '24': backpack
                '25': umbrella
                '26': handbag
                '27': tie
                '28': suitcase
                '29': frisbee
                '30': skis
                '31': snowboard
                '32': sports ball
                '33': kite
                '34': baseball bat
                '35': baseball glove
                '36': skateboard
                '37': surfboard
                '38': tennis racket
                '39': bottle
                '40': wine glass
                '41': cup
                '42': fork
                '43': knife
                '44': spoon
                '45': bowl
                '46': banana
                '47': apple
                '48': sandwich
                '49': orange
                '50': broccoli
                '51': carrot
                '52': hot dog
                '53': pizza
                '54': donut
                '55': cake
                '56': chair
                '57': couch
                '58': potted plant
                '59': bed
                '60': dining table
                '61': toilet
                '62': tv
                '63': laptop
                '64': mouse
                '65': remote
                '66': keyboard
                '67': cell phone
                '68': microwave
                '69': oven
                '70': toaster
                '71': sink
                '72': refrigerator
                '73': book
                '74': clock
                '75': vase
                '76': scissors
                '77': teddy bear
                '78': hair drier
                '79': toothbrush
        - name: area
          sequence: float32
        - name: iscrowd
          sequence: bool
    - name: height
      dtype: int64
    - name: width
      dtype: int64
    - name: date_captured
      dtype: string
    - name: license
      dtype:
        class_label:
          names:
            '0': Attribution-NonCommercial-ShareAlike License
            '1': Attribution-NonCommercial License
            '2': Attribution-NonCommercial-NoDerivs License
            '3': Attribution License
            '4': Attribution-ShareAlike License
            '5': Attribution-NoDerivs License
            '6': No known
            '7': United States Government Work
    - name: coco_url
      dtype: string
    - name: flickr_url
      dtype: string
  splits:
    - name: train
      num_bytes: 1469776815.615958
      num_examples: 8606
    - name: validation
      num_bytes: 734013215.4732826
      num_examples: 4180
  download_size: 2239232113
  dataset_size: 2203790031.0892406
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*