0jl/NYUv2

The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect. It features: * 1449 densely labeled pairs of aligned RGB and depth images * 464 new scenes taken from 3 cities * 407,024 new unlabeled frames * Each object is labeled with a class and an instance number (cup1, cup2, cup3, etc) This dataset is useful for various computer vision tasks, including depth estimation, semantic segmentation, and instance segmentation. This Hugging Face version of the dataset is unofficial. It downloads the d

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