Description

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) 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. 464 different indoor scenes 26 scene types 407,024 unlabeled frames 1449 densely labeled frames 1000+ Classes Inpainted and raw depth available Both object and instance labels

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