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Indoor Stereo Vision and Depth

Citation Author(s):
Alex Yang (University of Missouri)
Sam Kreter (University of Missouri)
Submitted by:
Alex Yang
Last updated:
DOI:
10.21227/q3fm-ty16
Data Format:
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Abstract

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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Please refer to the README file for detailed instructions.

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