Not sure about the license. Source: https://www.robots.ox.ac.uk/~vgg/data/dtd/ Describable Textures Dataset (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. Download dataset Download code Evaluation Citation Overview Our ability of vividly describing the content of images is a clear demonstration of the power of human visual system. Not only we can recognise objects in images (e.g. a cat, a person, or a car), but we can also describe them to the most minute details, extracting an impressive amount of information at a glance. But visual perception is not limited to the recognition and description of objects. Prior to high level semantic understanding, most textural patterns elicit a rich array of visual impressions. We could describe a texture as "polka dotted, regular, sparse, with blue dots on a white background"; or as "noisy, line like, and irregular". Our aim is to reproduce this capability in machines. Scientifically, the aim is to gain fu…
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