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DTD

Describable Textures Dataset

ImagesCustom (research-only)Introduced 2014-01-01

The Describable Textures Dataset (DTD) contains 5640 texture images in the wild. They are annotated with human-centric attributes inspired by the perceptual properties of textures.

Source: Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting Image Source: https://www.robots.ox.ac.uk/~vgg/data/dtd/

Benchmarks

AutoML/Accuracy (%)AutoML/FLOPS AutoML/PARAMS Few-Shot Learning/4-shot Accuracy Few-Shot Learning/8-shot Accuracy Few-Shot Learning/12-shot Accuracy Few-Shot Learning/16-shot Accuracy Few-Shot Learning/Harmonic mean Image Classification/Accuracy Image Clustering/Accuracy Image Clustering/ARI Image Clustering/NMI Meta-Learning/4-shot Accuracy Meta-Learning/8-shot Accuracy Meta-Learning/12-shot Accuracy Meta-Learning/16-shot Accuracy Meta-Learning/Harmonic mean Neural Architecture Search/Accuracy (%)Neural Architecture Search/FLOPS Neural Architecture Search/PARAMS Prompt Engineering/Harmonic mean Zero-Shot Learning/Accuracy

Statistics

Papers: 870
Benchmarks: 22

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Tasks

AutoML Classification Few-Shot Learning Few-Shot Learning - 4 shots Image Classification Image Clustering Meta-Learning Neural Architecture Search Prompt Engineering Transductive Zero-Shot Classification Zero-Shot Learning