image
imagewidth (px)
300
800
label
class label
47 classes
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
0banded
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
1blotchy
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided
2braided

Dataset Card for Describable Textures Dataset (DTD)

Dataset Summary

Texture classification dataset; consists of 47 categories, 120 images per class.

Data Splits

Equally split into train, val, test; The original paper proposed 10 splits; recent works (BYOL, arxiv:2006.07733) use only first split.

Licensing Information

Not defined at https://www.robots.ox.ac.uk/~vgg/data/dtd/

Citation Information

@InProceedings{cimpoi14describing, Author = {M. Cimpoi and S. Maji and I. Kokkinos and S. Mohamed and and A. Vedaldi}, Title = {Describing Textures in the Wild}, Booktitle = {Proceedings of the {IEEE} Conf. on Computer Vision and Pattern Recognition ({CVPR})}, Year = {2014}}

Downloads last month
0
Edit dataset card