coco-class-counts / README.md
jsheikh's picture
Upload dataset
cdbb6b6 verified
metadata
dataset_info:
  features:
    - name: file_name
      dtype: string
    - name: class_counts
      struct:
        - name: airplane
          dtype: int64
        - name: apple
          dtype: int64
        - name: backpack
          dtype: int64
        - name: banana
          dtype: int64
        - name: baseball bat
          dtype: int64
        - name: baseball glove
          dtype: int64
        - name: bear
          dtype: int64
        - name: bed
          dtype: int64
        - name: bench
          dtype: int64
        - name: bicycle
          dtype: int64
        - name: bird
          dtype: int64
        - name: boat
          dtype: int64
        - name: book
          dtype: int64
        - name: bottle
          dtype: int64
        - name: bowl
          dtype: int64
        - name: broccoli
          dtype: int64
        - name: bus
          dtype: int64
        - name: cake
          dtype: int64
        - name: car
          dtype: int64
        - name: carrot
          dtype: int64
        - name: cat
          dtype: int64
        - name: cell phone
          dtype: int64
        - name: chair
          dtype: int64
        - name: clock
          dtype: int64
        - name: couch
          dtype: int64
        - name: cow
          dtype: int64
        - name: cup
          dtype: int64
        - name: dining table
          dtype: int64
        - name: dog
          dtype: int64
        - name: donut
          dtype: int64
        - name: elephant
          dtype: int64
        - name: fire hydrant
          dtype: int64
        - name: fork
          dtype: int64
        - name: frisbee
          dtype: int64
        - name: giraffe
          dtype: int64
        - name: hair drier
          dtype: int64
        - name: handbag
          dtype: int64
        - name: horse
          dtype: int64
        - name: hot dog
          dtype: int64
        - name: keyboard
          dtype: int64
        - name: kite
          dtype: int64
        - name: knife
          dtype: int64
        - name: laptop
          dtype: int64
        - name: microwave
          dtype: int64
        - name: motorcycle
          dtype: int64
        - name: mouse
          dtype: int64
        - name: orange
          dtype: int64
        - name: oven
          dtype: int64
        - name: parking meter
          dtype: int64
        - name: person
          dtype: int64
        - name: pizza
          dtype: int64
        - name: potted plant
          dtype: int64
        - name: refrigerator
          dtype: int64
        - name: remote
          dtype: int64
        - name: sandwich
          dtype: int64
        - name: scissors
          dtype: int64
        - name: sheep
          dtype: int64
        - name: sink
          dtype: int64
        - name: skateboard
          dtype: int64
        - name: skis
          dtype: int64
        - name: snowboard
          dtype: int64
        - name: spoon
          dtype: int64
        - name: sports ball
          dtype: int64
        - name: stop sign
          dtype: int64
        - name: suitcase
          dtype: int64
        - name: surfboard
          dtype: int64
        - name: teddy bear
          dtype: int64
        - name: tennis racket
          dtype: int64
        - name: tie
          dtype: int64
        - name: toaster
          dtype: int64
        - name: toilet
          dtype: int64
        - name: toothbrush
          dtype: int64
        - name: traffic light
          dtype: int64
        - name: train
          dtype: int64
        - name: truck
          dtype: int64
        - name: tv
          dtype: int64
        - name: umbrella
          dtype: int64
        - name: vase
          dtype: int64
        - name: wine glass
          dtype: int64
        - name: zebra
          dtype: int64
  splits:
    - name: train
      num_bytes: 79252300
      num_examples: 118287
    - name: validation
      num_bytes: 3350000
      num_examples: 5000
  download_size: 5402413
  dataset_size: 82602300
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*