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dSprites is a 2D shape dataset generated from six basic independent latent factors (color, shape, scale, rotation, x‑position, and y‑position) for evaluating the disentanglement properties of unsupervised learning methods. The dataset contains 737,280 images, each representing a unique combination of these latent factors.
