Indoor Stereo Vision and Depth

- Citation Author(s):
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Alex Yang (University of Missouri)Sam Kreter (University of Missouri)
- Submitted by:
- Alex Yang
- Last updated:
- DOI:
- 10.21227/q3fm-ty16
- Data Format:
- Categories:
- Keywords:
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.
Instructions:
Please refer to the README file for detailed instructions.
Dataset usage must comply with the LICENSE provided.