---
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](https://www.robots.ox.ac.uk/~vgg/data/pets/).