Description

The NYU-Depth 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. The dataset has several components: Labeled: A subset of the video data accompanied by dense multi-class labels. This data has also been preprocessed to fill in missing depth labels. Raw: The raw rgb, depth and accelerometer data as provided by the Kinect. Toolbox: Useful functions for manipulating the data and labels. The train/test splits used for evaluation. 64 different indoor scenes 7 scene types 108,617 unlabeled frames 2347 densely labeled frames 1000+ Classes Inpainted and raw depth available

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