---
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-*
license: cc-by-4.0
task_categories:
- object-detection
tags:
- coco
- subset
pretty_name: C
---