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<img src="images/banner2.PNG" align="middle"/> |
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# Unity Perception Package Documentation (com.unity.perception) |
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Visit the pages below for in-depth documentation on inidividual components of the package. |
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|Feature|Description| |
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|[Labeling](GroundTruthLabeling.md)|A component that marks a GameObject and its descendants with a set of labels| |
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|[LabelConfig](GroundTruthLabeling.md#label-config)|An asset that defines a taxonomy of labels for ground truth generation| |
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|[Perception Camera](PerceptionCamera.md)|Captures RGB images and ground truth from a [Camera](https://docs.unity3d.com/Manual/class-Camera.html).| |
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|[DatasetCapture](DatasetCapture.md)|Ensures sensors are triggered at proper rates and accepts data for the JSON dataset.| |
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|[Randomization (Experimental)](Randomization/Index.md)|The Randomization tool set lets you integrate domain randomization principles into your simulation.| |
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## Preview package |
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This package is available as a preview, so it is not ready for production use. The features and documentation in this package might change before it is verified for release. |
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## Known issues |
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* The Linux Editor 2019.4.7f1 and 2019.4.8f1 might hang when importing HDRP-based Perception projects. For Linux Editor support, use 2019.4.6f1 or 2020.1 |
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## Other Resources |
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**[Quick Installation Instructions](com.unity.perception/Documentation~/SetupSteps.md)** |
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Get your local Perception workspace up and running quickly. Recommended for users with prior Unity experience. |
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**[Perception Tutorial](com.unity.perception/Documentation~/Tutorial/TUTORIAL.md)** |
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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. |
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### Example projects using Perception |
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#### SynthDet |
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<img src="images/synthdet.png"/> |
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[SynthDet](https://github.com/Unity-Technologies/SynthDet) is an end-to-end solution for training a 2D object detection model using synthetic data. |
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#### Unity Simulation Smart Camera example |
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<img src="images/smartcamera.png"/> |
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The [Unity Simulation Smart Camera Example](https://github.com/Unity-Technologies/Unity-Simulation-Smart-Camera-Outdoor) illustrates how Perception could be used in a smart city or autonomous vehicle simulation. You can generate datasets locally or at scale in [Unity Simulation](https://unity.com/products/unity-simulation). |
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