The [Unity Simulation Smart Camera Example](https://github.com/Unity-Technologies/Unity-Simulation-Smart-Camera-Outdoor) illustrates how the Perception package 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).
The [Robotics Object Pose Estimation Demo & Tutorial](https://github.com/Unity-Technologies/Robotics-Object-Pose-Estimation) demonstrates pick-and-place with a robot arm in Unity. It includes using ROS with Unity, importing URDF models, collecting labeled training data using the Perception package, and training and deploying a deep learning model.
## Local development
The repository includes two projects for local development in `TestProjects` folder, one set up for HDRP and the other for URP.
## License
* [License](com.unity.perception/LICENSE.md)
## Support
## Community and Feedback
For general questions or concerns please contact the Computer Vision team at computer-vision@unity3d.com.
For setup problems or discussions about leveraging the Perception package in your project, please create a new thread on the [Unity Computer Vision forum](https://forum.unity.com/forums/computer-vision.626/) and make sure to include as much detail as possible. If you run into any other problems with the Perception package or have a specific feature request, please submit a [GitHub issue](https://github.com/Unity-Technologies/com.unity.perception/issues).
For feedback, bugs, or other issues please file a GitHub issue and the Computer Vision team will investigate the issue as soon as possible.
For any other questions or feedback, connect directly with the Computer Vision team at [computer-vision@unity3d.com](mailto:computer-vision@unity3d.com).
## Citation
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