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<img src="images/Synthetic Data pipeline-Perception Workflow.png"/>
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</p>
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## Project overview
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This project utilizes the Unity [Perception](https://github.com/Unity-Technologies/com.unity.perception) package for randomizing the environment and capturing ground-truth on each frame. Randomization includes elements such as lighting, camera post processing, object placement, and background. Visit [this page](UnityProjectOverview.md) for a brief overview on how ground truth generation and domain randomization are achieved in SynthDet.
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## Installation & setup
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* [Prerequisites](Prerequisites.md)
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* Evaluating a dataset - [Dataset Evaluation with Dataset Insights framework](https://datasetinsights.readthedocs.io/en/0.2.5/Evaluation_Tutorial.html)
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* Running your model with a mobile app - [SynthDet Viewer AR App](https://github.com/Unity-Technologies/perception-synthdet-demo-app)
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## How does the SynthDet Unity project work?
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This project utilizes the Unity [Perception](https://github.com/Unity-Technologies/com.unity.perception) package for randomizing the environment and capturing ground-truth on each frame. Randomization includes elements such as lighting, camera post processing, object placement, and background. Visit [this page](UnityProjectOverview.md) for a brief overview on how ground truth generation and domain randomization are achieved in SynthDet.
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Furthermore, in order to learn how to create a project like SynthDet from scratch using the Perception package, we recommend you follow the [Perception Tutorial](https://github.com/Unity-Technologies/com.unity.perception/blob/master/com.unity.perception/Documentation~/Tutorial/TUTORIAL.md).
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In order to learn how to create a project like SynthDet from scratch using the Perception package, we recommend you follow the [Perception Tutorial](https://github.com/Unity-Technologies/com.unity.perception/blob/master/com.unity.perception/Documentation~/Tutorial/TUTORIAL.md).
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## Additional documentation
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* [Overview on how the SynthDet Unity project works](UnityProjectOverview.md)
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