---
license: cc-by-4.0
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': banded
          '1': blotchy
          '2': braided
          '3': bubbly
          '4': bumpy
          '5': chequered
          '6': cobwebbed
          '7': cracked
          '8': crosshatched
          '9': crystalline
          '10': dotted
          '11': fibrous
          '12': flecked
          '13': freckled
          '14': frilly
          '15': gauzy
          '16': grid
          '17': grooved
          '18': honeycombed
          '19': interlaced
          '20': knitted
          '21': lacelike
          '22': lined
          '23': marbled
          '24': matted
          '25': meshed
          '26': paisley
          '27': perforated
          '28': pitted
          '29': pleated
          '30': polka-dotted
          '31': porous
          '32': potholed
          '33': scaly
          '34': smeared
          '35': spiralled
          '36': sprinkled
          '37': stained
          '38': stratified
          '39': striped
          '40': studded
          '41': swirly
          '42': veined
          '43': waffled
          '44': woven
          '45': wrinkled
          '46': zigzagged
  splits:
  - name: train
    num_bytes: 226313270.04
    num_examples: 1880
  - name: test
    num_bytes: 172035822
    num_examples: 1880
  - name: validation
    num_bytes: 222278767.48
    num_examples: 1880
  download_size: 629315160
  dataset_size: 620627859.52
task_categories:
- image-classification
language:
- en
tags:
- texture
- computer-vision
pretty_name: Describable Textures Dataset
size_categories:
- 1K<n<10K
---

# Dataset Card for Describable Textures Dataset (DTD)

## Dataset Description

- Homepage: https://www.robots.ox.ac.uk/~vgg/data/dtd/
- Repository: https://github.com/mcimpoi/deep-fbanks 
- Paper: https://openaccess.thecvf.com/content_cvpr_2014/html/Cimpoi_Describing_Textures_in_2014_CVPR_paper.html
- Leaderboard: https://paperswithcode.com/sota/image-classification-on-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}}