DIODE (Dense Indoor/Outdoor DEpth) is a public RGB-D dataset that provides diverse, high-resolution color images coupled with accurate, dense, long-range depth measurements for both indoor and outdoor scenes acquired with a single sensor suite. It was introduced to enable and evaluate depth-estimation methods that generalize across scene domains; the dataset includes RGB images, dense depth maps and surface normals (where available), a development toolkit on GitHub, and a sample gallery on the project site. The authors describe DIODE as containing "thousands" of diverse scenes and provide data curation and processing scripts (diode-devkit). Primary references: the project site (diode-dataset.org) and the technical report (arXiv:1908.00463).
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