Dataset Visualizer

The performance of machine learning models can depend heavily on the properties of the training data. The Omniverse Kaolin Dataset Visualizer extension allows sampling and visualizing batches from 3D datasets to gain intuition and identify problems that can hinder learning.

Interface

Ref #	Option	Result
1	Dataset Directory	Select directory from which to recursively search for valid .usd, .usda and .usdc files.
2	Resample objects	Selects a new random subset of assets.
3	Number of objects	Sets the maximum number of objects to sample.
4	Rotate	Rotates assets, in degrees.
5	Spacing Factor	Reduces/Increases the spacing between assets.
6	Normalize Size	Normalizes each asset to a common size.
7	Up Axis	Rotates the assets to accommodate either Y-Up and Z-Up orientations.
8	Demo	Opens a browser window to this documentation.