| Description (include details on usage, files and paper references) | 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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