Hypersim
Introduced by Roberts et al. in Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. Hypersim is a photorealistic synthetic dataset for holistic indoor scene understanding. It contains 77,400 images of 461 indoor scenes with detailed per-pixel labels and corresponding ground truth geometry.
Source: https://github.com/apple/ml-hypersim
Papers
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