dSprites: Disentanglement testing sprites dataset. This repository contains the dSprites dataset, used to assess the disentanglement properties of unsupervised learning methods. dSprites is a dataset of 2D shapes procedurally generated from 6 ground truth independent latent factors. These factors are color, shape, scale, rotation, x and y positions of a sprite. All possible combinations of these latents are present exactly once, generating N = 737280 total images.
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References in zbMATH (referenced in 1 article )
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- Castro, Daniel C.; Tan, Jeremy; Kainz, Bernhard; Konukoglu, Ender; Glocker, Ben: Morpho-MNIST: quantitative assessment and diagnostics for representation learning (2019)