Indoor Stereo Vision and Depth

Indoor Stereo Vision and Depth

Citation Author(s):
Alex
Yang
University of Missouri
Sam
Kreter
University of Missouri
Submitted by:
Alex Yang
Last updated:
Thu, 10/17/2019 - 20:30
DOI:
10.21227/q3fm-ty16
Data Format:
License:
Dataset Views:
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The is a dataset for indoor depth estimation that contains 1803 synchronized image triples (left, right color image and depth map), from 6 different scenes, including a library, some bookshelves, a conference room, a cafe, a study area, and a hallway. Among these images, 1740 high-quality ones are marked as high-quality imagery. The left view and the depth map are aligned and synchronized and can be used to evaluate monocular depth estimation models. Standard training/testing splits are provided.

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[1] Alex Yang, Sam Kreter, "Indoor Stereo Vision and Depth", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/q3fm-ty16. Accessed: Feb. 18, 2020.
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author = {Alex Yang; Sam Kreter },
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title = {Indoor Stereo Vision and Depth},
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Alex Yang, Sam Kreter. (2019). Indoor Stereo Vision and Depth. IEEE Dataport. http://dx.doi.org/10.21227/q3fm-ty16
Alex Yang, Sam Kreter, 2019. Indoor Stereo Vision and Depth. Available at: http://dx.doi.org/10.21227/q3fm-ty16.
Alex Yang, Sam Kreter. (2019). "Indoor Stereo Vision and Depth." Web.
1. Alex Yang, Sam Kreter. Indoor Stereo Vision and Depth [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/q3fm-ty16
Alex Yang, Sam Kreter. "Indoor Stereo Vision and Depth." doi: 10.21227/q3fm-ty16