CLARU
jagennath-harimit

NYUv2

A preprocessed RGB-D dataset for indoor scene understanding tasks including semantic segmentation, depth estimation, and instance segmentation. The dataset contains aligned RGB images, depth maps, semantic masks, and instance masks converted from the original NYU Depth Dataset V2 into a modern ML-friendly format.

Downloads342

Technical Profile

Modalities
rgbdepth
Environment
indoor
Task Types
depth_estimationsemantic_segmentationinstance_segmentation
Data Format
HDF5
License
mit
Part of the NYUv2 family

Access

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