Abstract
This dataset consists of 737,280 images of 2D shapes, procedurally generated from 5 ground truth independent latent factors, controlling the shape, scale, rotation and position of a sprite. This data can be used to assess the disentanglement properties of unsupervised learning methods.
Type
Publication
Github
Loic Matthey
Staff Research Scientist in Machine Learning
ex-Neuroscientist working on Artificial General Intelligence at Google DeepMind. Unsupervised learning, structured generative models, concepts and how to make AI actually generalize is what I do.