feiwu77777/animime-cat-breeds

Animime · Cat breeds

12 cat breeds from the Oxford-IIIT Pet dataset.

12 classes, organized as an ImageFolder tree under train/, val/, and test/ (80/10/10 deterministic split, seed=42).

Classes

• abyssinian
• bengal
• birman
• bombay
• british_shorthair
• egyptian_mau
• maine_coon
• persian
• ragdoll
• russian_blue
• siamese
• sphynx

Source & attribution

Images derive from the Oxford-IIIT Pet dataset, filtered to the subset of classes above and re-split. Original source: https://www.robots.ox.ac.uk/~vgg/data/pets/

License: Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

Citation:

Parkhi, O. M., Vedaldi, A., Zisserman, A., & Jawahar, C. V. (2012). Cats and Dogs. IEEE Conference on Computer Vision and Pattern Recognition.

This repository redistributes a filtered subset of the original images in ImageFolder layout to make them easy to load for the animime classifier. All rights to the underlying images remain with the original dataset authors; if you use this data, please cite the source above.

Loading

from datasets import load_dataset
ds = load_dataset("feiwu77777/animime-cat-breeds")
print(ds["train"][0])

Or as a raw ImageFolder tree:

from torchvision.datasets import ImageFolder
train = ImageFolder("data/cat_breeds/train")

Reproducing

The filtering + splitting pipeline lives in scripts/download_datasets.py in the animime_model repo.