• Description:

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.

Latent factor values

  • Color: white
  • Shape: square, ellipse, heart
  • Scale: 6 values linearly spaced in [0.5, 1]
  • Orientation: 40 values in [0, 2 pi]
  • Position X: 32 values in [0, 1]
  • Position Y: 32 values in [0, 1]

We varied one latent at a time (starting from Position Y, then Position X, etc), and sequentially stored the images in fixed order. Hence the order along the first dimension is fixed and allows you to map back to the value of the latents corresponding to that image.

We chose the latents values deliberately to have the smallest step changes while ensuring that all pixel outputs were different. No noise was added.

Split Examples
'train' 737,280
  • Feature structure:
    'image': Image(shape=(64, 64, 1), dtype=uint8),
    'label_orientation': ClassLabel(shape=(), dtype=int64, num_classes=40),
    'label_scale': ClassLabel(shape=(), dtype=int64, num_classes=6),
    'label_shape': ClassLabel(shape=(), dtype=int64, num_classes=3),
    'label_x_position': ClassLabel(shape=(), dtype=int64, num_classes=32),
    'label_y_position': ClassLabel(shape=(), dtype=int64, num_classes=32),
    'value_orientation': float32,
    'value_scale': float32,
    'value_shape': float32,
    'value_x_position': float32,
    'value_y_position': float32,
  • Feature documentation:
Feature Class Shape Dtype Description
image Image (64, 64, 1) uint8
label_orientation ClassLabel int64
label_scale ClassLabel int64
label_shape ClassLabel int64
label_x_position ClassLabel int64
label_y_position ClassLabel int64
value_orientation Tensor float32
value_scale Tensor float32
value_shape Tensor float32
value_x_position Tensor float32
value_y_position Tensor float32


  • Citation:
author = {Loic Matthey and Irina Higgins and Demis Hassabis and Alexander Lerchner},
title = {dSprites: Disentanglement testing Sprites dataset},
howpublished= {https://github.com/deepmind/dsprites-dataset/},
year = "2017",