README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Abyssinian
            '1': american bulldog
            '2': american pit bull terrier
            '3': basset hound
            '4': beagle
            '5': Bengal
            '6': Birman
            '7': Bombay
            '8': boxer
            '9': British Shorthair
            '10': chihuahua
            '11': Egyptian Mau
            '12': english cocker spaniel
            '13': english setter
            '14': german shorthaired
            '15': great pyrenees
            '16': havanese
            '17': japanese chin
            '18': keeshond
            '19': leonberger
            '20': Maine Coon
            '21': miniature pinscher
            '22': newfoundland
            '23': Persian
            '24': pomeranian
            '25': pug
            '26': Ragdoll
            '27': Russian Blue
            '28': saint bernard
            '29': samoyed
            '30': scottish terrier
            '31': shiba inu
            '32': Siamese
            '33': Sphynx
            '34': staffordshire bull terrier
            '35': wheaten terrier
            '36': yorkshire terrier
    - name: species
      dtype:
        class_label:
          names:
            '0': Cat
            '1': Dog
  splits:
    - name: test
      num_bytes: 391119759.65567535
      num_examples: 3669
    - name: train
      num_bytes: 389006526.48632467
      num_examples: 3680
  download_size: 789582991
  dataset_size: 780126286.142
task_categories:
  - image-classification
language:
  - en

Dataset Card for "Oxford-IIIT-Pet"

This is a non-official Oxford IIIT Pet dataset for fine-grained Image Classification.

If you want to download the official dataset, please refer to the here.