The Perception package provides a toolkit for generating large-scale datasets for perception-based machine learning training and validation. It is focused on a handful of camera-based use cases for now and will ultimately expand to other forms of sensors and machine learning tasks.
com.unity.perception is in active development. Its features and API are subject to significant change as development progresses.
Quick Installation Instructions
Perception Tutorial: Detailed instructions covering all the important steps from installing Unity Editor, to creating your first Perception project, building a randomized Scene, and generating large-scale synthetic datasets by leveraging the power of Unity Simulation.
Perception Manual: Sample projects and documentation of the SDK.
The repository includes two projects for local development in TestProjects folder, one set up for HDRP and the other for URP.
For closest standards conformity and best experience overall, JetBrains Rider or Visual Studio w/ JetBrains Resharper are suggested. For optimal experience, perform the following additional steps:
- To allow navigating to code in all packages included in your project, in your Unity Editor, navigate to
Edit -> Preferences... -> External Toolsand checkGenerate all .csproj files.
If you find this package useful, consider citing it using:
@misc{com.unity.perception2020,
title={Unity {P}erception Package},
author={{Unity Technologies}},
howpublished={\url{https://github.com/Unity-Technologies/com.unity.perception}},
year={2020}
}