| 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: 463693721.28 | |
| num_examples: 3760 | |
| - name: test | |
| num_bytes: 171623828.0 | |
| num_examples: 1880 | |
| download_size: 629499529 | |
| dataset_size: 635317549.28 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| # [DTD: Describable Textures Dataset](https://www.robots.ox.ac.uk/~vgg/data/dtd/) | |
| The Describable Textures Dataset (DTD) is an evolving collection of textural images in the wild, annotated with a series of human-centric attributes, inspired by the perceptual properties of textures. | |
| This data is made available to the computer vision community for research purposes | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset('tanganke/dtd') | |
| ``` | |
| - **Features:** | |
| - **Image**: The primary data type, which is a digital image used for classification. The format and dimensions of the images are not specified in this snippet but should be included if available. | |
| - **Label**: A categorical feature representing the texture or pattern class of each image. The dataset includes 46 classes with descriptive names ranging from 'banded' to 'zigzagged'. | |
| - **Class Labels**: | |
| - '0': banded | |
| - '1': blotchy | |
| - '2': braided | |
| - ... | |
| - '45': wrinkled | |
| - '46': zigzagged | |
| - **Splits**: The dataset is divided into training and test subsets for model evaluation. | |
| - **Training**: containing 3760 examples with a total size of 448,550 bytes. | |
| - **Test**: containing 1880 examples with a total size of 220,515 bytes. | |