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.
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.|
Sample projects and in-depth documentation for various components of the SDK, including [Labeling](GroundTruthLabeling.md), [LabelConfig](GroundTruthLabeling.md#label-config), [Perception Camera](PerceptionCamera.md), [DatasetCapture](DatasetCapture.md), and [Randomization](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.
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