Oleg Zabluda's blog
Friday, January 25, 2019
Matterport3D Research Dataset
Matterport3D Research Dataset
We’re excited that groups at Stanford, Princeton, and TUM have painstakingly hand-labeled a wide range of spaces offered up by customers and made these labeled spaces public in the form of the Matterport 3D dataset.

This is the largest public dataset of its kind in the world, and the labeling of this dataset was a very significant effort.
This dataset contains 10,800 aligned 3D panoramic views (RGB + depth per pixel) from 194,400 RGB + depth images of 90 building-scale scenes. All of these scenes were captured with Matterport’s Pro 3D Camera. The 3D models of the scenes have been hand-labeled with instance-level object segmentation.


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