Datasets › dSprites

dSprites (Disentanglement testing Sprites dataset)

Introduced by Irina Higgins et al. in beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework26 Apr 2017 archive 2025-07-28

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.

Source: dSprites

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 153 papers for it but never published that list.

Dataset loaders archive 2025-07-28

4 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • dSprites

1 variant name, as the archive lists them.

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