Datasetpublic

tanganke/dtd

DTD: Describable Textures Dataset 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 from datasets import load_dataset dataset = load_dataset('tanganke/dtd') Features: Image: The primary data type, which is a digital image… See the full description on the dataset page: https://huggingface.co/datasets/tanganke/dtd.

sourceHugging Faceupdated 2y agoView on Hugging Face

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Dataset Card

DTD: Describable Textures Dataset

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.