Dataset Card for NYU Depth V2 Table of Contents Table of Contents Dataset Description Dataset Summary Supported Tasks Languages Dataset Structure Data Instances Data Fields Data Splits Visualization Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description Homepage: NYU Depth Dataset V2 homepage Repository: Fast Depth repository which was used to source the dataset in this repository. It is a preprocessed version of the original NYU Depth V2 dataset linked above. It is also used in TensorFlow Datasets. Papers: Indoor Segmentation and Support Inference from RGBD Images and FastDepth: Fast Monocular Depth Estimation on Embedded Systems Point of Contact: Nathan Silberman and Diana Wofk Dataset Summary As per the dataset homepage: 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…
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