# 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.
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> com.unity.perception is in active development. Its features and API are subject to significant change as development progresses.
**[Quick Installation Instructions](com.unity.perception/Documentation~/SetupSteps.md)**
Get your local Perception workspace up and running quickly. Recommended for users with prior Unity experience.
**[Perception Tutorial](com.unity.perception/Documentation~/Tutorial/TUTORIAL.md)**
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.
**[Perception Manual](com.unity.perception/Documentation~/index.md)**
Sample projects and documentation of the SDK.
## Package Documentation
This section contains in-depth documentation on inidividual components of the Perception package.
|Feature|Description|
|---|---|
|[Labeling](GroundTruthLabeling.md)|A component that marks a GameObject and its descendants with a set of labels|
|[LabelConfig](GroundTruthLabeling.md#label-config)|An asset that defines a taxonomy of labels for ground truth generation|
|[Perception Camera](PerceptionCamera.md)|Captures RGB images and ground truth from a [Camera](https://docs.unity3d.com/Manual/class-Camera.html).|
|[DatasetCapture](DatasetCapture.md)|Ensures sensors are triggered at proper rates and accepts data for the JSON dataset.|
|[Randomization (Experimental)](Randomization/Index.md)|The Randomization tool set lets you integrate domain randomization principles into your simulation.|
## 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](com.unity.perception/LICENSE.md)
## 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}
}
```