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---
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/). |