|
--- |
|
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: image_id |
|
dtype: string |
|
- name: label_cat_dog |
|
dtype: |
|
class_label: |
|
names: |
|
'0': cat |
|
'1': dog |
|
splits: |
|
- name: train |
|
num_bytes: 376746044.08 |
|
num_examples: 3680 |
|
- name: test |
|
num_bytes: 426902517.206 |
|
num_examples: 3669 |
|
download_size: 790265316 |
|
dataset_size: 803648561.286 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
license: cc-by-sa-4.0 |
|
size_categories: |
|
- 1K<n<10K |
|
task_categories: |
|
- image-classification |
|
--- |
|
|
|
# The Oxford-IIIT Pet Dataset |
|
|
|
## Description |
|
A 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. |
|
|
|
This instance of the dataset uses standard label ordering and includes the standard train/test splits. Trimaps and bbox are not included, but there is an `image_id` field that can be used to reference those annotations from official metadata. |
|
|
|
Website: https://www.robots.ox.ac.uk/~vgg/data/pets/ |
|
|
|
## Citation |
|
```bibtex |
|
@InProceedings{parkhi12a, |
|
author = "Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman and C. V. Jawahar", |
|
title = "Cats and Dogs", |
|
booktitle = "IEEE Conference on Computer Vision and Pattern Recognition", |
|
year = "2012", |
|
} |
|
``` |
