com.unity.perception is in active development. Its features and API are subject to significant change as development progresses.

Perception

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.

Quick Installation Instructions
Get your local Perception workspace up and running quickly. Recommended for users with prior Unity experience.

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. No prior Unity experience required.

Documentation
Sample projects and in-depth documentation for various components of the SDK, including Labeling, LabelConfig, Perception Camera, DatasetCapture, and Randomization.

Local development

The repository includes two projects for local development in TestProjects folder, one set up for HDRP and the other for URP.

Suggested IDE Setup

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 Tools and check Generate all .csproj files.

License

• License

Citation

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}
}