# 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.  [](LICENSE.md) > com.unity.perception is in active development. Its features and API are subject to significant change as development progresses. ## Documentation [Installation instructions](com.unity.perception/Documentation~/SetupSteps.md) [Setting up your first perception scene](com.unity.perception/Documentation~/GettingStarted.md) [Perception manual](com.unity.perception/Documentation~/index.md) [Randomizing your simulation](com.unity.perception/Documentation~/Randomization/Index.md) ## 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.` * To get automatic feedback and fixups on formatting and naming convention violations, set up Rider/JetBrains with our Unity standard .dotsettings file by following [these instructions](https://github.cds.internal.unity3d.com/unity/com.unity.coding/tree/master/UnityCoding/Packages/com.unity.coding/Coding~/Configs/JetBrains). * If you use VS Code, install the Editorconfig extension to get automatic code formatting according to our convention ## License * [License](com.unity.perception/LICENSE.md)