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Platforms And Applications
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This VVAS release supports Zynq MPSoc based Embedded platforms and it has been validated with ``KV260 SOM`` and ``zcu104`` platforms. Various supported example applications using VVAS on these platforms are listed below.

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SOM Examples
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There are four Application specific SOM platforms supported. Click on the link below to know more about these.

Smart Camera
   Smart Camera Application with face detection and display functionality. For more details refer to `Smart Camera <https://xilinx.github.io/kria-apps-docs/docs/smartcamera/smartcamera_landing.html>`_

AIBox-ReiD
   Application demonstrating multistream tracking and Re-Identification. For more details, refer to `AIBox-ReID <https://xilinx.github.io/kria-apps-docs/docs/aibox-reid/aibox_landing.html>`_

Defect Detection
   Application to detect defects in mangoes. For more details, refer to `Defect Detect <https://xilinx.github.io/kria-apps-docs/docs/defect-detect/defectdetect_landing.html>`_

NLP SmartVision
   Application to demonstrate Natural Language Processing feature. For more details refer to `NLP SmartVision  <https://xilinx.github.io/kria-apps-docs/docs/nlp-smartvision/nlp_smartvision_landing.html>`_

.. toctree::
   :maxdepth: 3
   :caption: Smart Camera
   :hidden:

   Smart Camera <https://xilinx.github.io/kria-apps-docs/docs/smartcamera/smartcamera_landing.html>

.. toctree::
   :maxdepth: 3
   :caption: AIBox-ReiD
   :hidden:

   AIBox-ReID <https://xilinx.github.io/kria-apps-docs/docs/aibox-reid/aibox_landing.html>

.. toctree::
   :maxdepth: 3
   :caption: Defect Detect
   :hidden:

   Defect Detect <https://xilinx.github.io/kria-apps-docs/docs/defect-detect/defectdetect_landing.html>

.. toctree::
   :maxdepth: 3
   :caption: NLP SmartVision
   :hidden:

   NLP SmartVision  <https://xilinx.github.io/kria-apps-docs/docs/nlp-smartvision/nlp_smartvision_landing.html>


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ZCU104 Examples
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Multi Channel ML
   This application demonstrates multi channel multi model Machine Learning capability using VVAS. :doc:`Multi Channel ML Tutorial <Tutorials/MultiChannelML>` tutorial for beginners explains step by step approach to build this application/pipeline using VVAS.


Smart Model Select
   This application allows selection of ML model from 16 supported models, input source and output using command line and then it constructs and executes the pipeline. For more details, refer to :doc:`Smart ML Model Select <smart_model_select>`.

.. toctree::
   :maxdepth: 3
   :caption: Multi Channel ML
   :hidden:

   Multi Channel ML <./Tutorials/MultiChannelML>

.. toctree::
   :maxdepth: 3
   :caption: Smart Model Select
   :hidden:

   Smart Model Select <./smart_model_select>