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    <title>MCX Microcontrollersのトピック回复： How to start with Model training and vision based application in MCXN947</title>
    <link>https://community.nxp.com/t5/MCX-Microcontrollers/How-to-start-with-Model-training-and-vision-based-application-in/m-p/2410963#M5902</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.nxp.com/t5/user/viewprofilepage/user-id/261601"&gt;@Gayathriii&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Yes, this is absolutely possible on the MCXN947.&lt;/P&gt;
&lt;P&gt;For your use case:&lt;/P&gt;
&lt;P&gt;Upload my images → label them → train a model → run on MCXN947&lt;/P&gt;
&lt;P&gt;This is a classic BYOD workflow.&lt;/P&gt;
&lt;P&gt;Option 1: eIQ Model Creator&lt;/P&gt;
&lt;P&gt;Once your eIQ Model Creator access is approved:&lt;/P&gt;
&lt;P&gt;Create a new image classification project.&lt;BR /&gt;Upload your image dataset.&lt;BR /&gt;Label the images (or organize them by folders/classes).&lt;BR /&gt;Train a model using transfer learning.&lt;BR /&gt;Export a TensorFlow Lite model (.tflite).&lt;BR /&gt;Use the eIQ Neutron SDK to convert the model for MCXN947.&lt;BR /&gt;Integrate the converted model into your MCUXpresso project and run it on the board.&lt;/P&gt;
&lt;P&gt;Option 2: Train Yourself (TensorFlow)&lt;/P&gt;
&lt;P&gt;You do not actually need Model Creator.&lt;/P&gt;
&lt;P&gt;You can:&lt;/P&gt;
&lt;P&gt;Collect images.&lt;BR /&gt;Label them.&lt;BR /&gt;Train with TensorFlow/Keras.&lt;BR /&gt;Export&lt;/P&gt;
&lt;P&gt;Resources：&lt;/P&gt;
&lt;P&gt;1. MCXN947: How to Train and Deploy Customer ML Model to NPU&lt;/P&gt;
&lt;LI-CODE lang="markup"&gt;Images
   ↓
Training
   ↓
TensorFlow Lite model
   ↓
neutron-converter
   ↓
NPU-enabled .tflite
   ↓
MCUXpresso project
   ↓
MCXN947 NPU
``&lt;/LI-CODE&gt;
&lt;P&gt;&amp;nbsp;&lt;A href="https://community.nxp.com/t5/MCX-Microcontrollers-Knowledge/MCXN947-How-to-Train-and-Deploy-Customer-ML-model-to-NPU/ta-p/1899497" target="_blank"&gt;MCXN947：如何训练和部署客户 ML 模型到 NPU&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;2.&amp;nbsp;AN14241 - How to Integrate Customer ML Model to NPU on MCX N94x&lt;/P&gt;
&lt;DIV&gt;&lt;A href="https://www.newark.com/site/binaries/content/assets/common/product-family-documents/nxp-frdm-mcxn947/nxp-frdm-mcxn947-an9.pdf" target="_blank"&gt;How to Integrate Customer ML Model to NPU on MCX N94x&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV&gt;3.&amp;nbsp;How to Get Started with NPU and ML in MCX Microcontrollers&lt;/DIV&gt;
&lt;DIV&gt;&lt;A href="https://community.nxp.com/t5/MCX-Microcontrollers-Knowledge/How-to-get-started-with-NPU-and-ML-in-MCX-Microcontrollers/ta-p/1788440" target="_blank"&gt;MCX 微控制器中 NPU 与机器学习的入门指南&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;BR&lt;/DIV&gt;
&lt;DIV&gt;Harry&lt;/DIV&gt;</description>
    <pubDate>Thu, 03 Sep 2026 09:54:06 GMT</pubDate>
    <dc:creator>Harry_Zhang</dc:creator>
    <dc:date>2026-09-03T09:54:06Z</dc:date>
    <item>
      <title>How to start with Model training and vision based application in MCXN947</title>
      <link>https://community.nxp.com/t5/MCX-Microcontrollers/How-to-start-with-Model-training-and-vision-based-application-in/m-p/2410814#M5900</link>
      <description>&lt;P&gt;I ran the face detect ACH code, it's working. I want to know more about the BYOM and training a model from scratch in the eIQ toolkit. In the last conference, NXP mentioned something about BYOM and BYOD.&lt;/P&gt;&lt;P&gt;I need to upload my images, label it and train and want to put it in MCXN947 board. Is it possible?&lt;/P&gt;&lt;P&gt;I tried accessing the eIQ model creator, the request has been submitted. I have downloaded the eIQ timeseries (I think it's for data like motor anomaly detection or something) and also downloaded the eIQ neutron SDK. I just want the workflow or material or user guide for training the model and put it in MCXN947.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Gayathriii_0-1788414712451.png" style="width: 400px;"&gt;&lt;img src="https://community.nxp.com/t5/image/serverpage/image-id/395820iECF312428349EB3C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Gayathriii_0-1788414712451.png" alt="Gayathriii_0-1788414712451.png" /&gt;&lt;span class="lia-inline-image-caption" onclick="event.preventDefault();"&gt;Gayathriii_0-1788414712451.png&lt;/span&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 03 Sep 2026 05:53:54 GMT</pubDate>
      <guid>https://community.nxp.com/t5/MCX-Microcontrollers/How-to-start-with-Model-training-and-vision-based-application-in/m-p/2410814#M5900</guid>
      <dc:creator>Gayathriii</dc:creator>
      <dc:date>2026-09-03T05:53:54Z</dc:date>
    </item>
    <item>
      <title>回复： How to start with Model training and vision based application in MCXN947</title>
      <link>https://community.nxp.com/t5/MCX-Microcontrollers/How-to-start-with-Model-training-and-vision-based-application-in/m-p/2410963#M5902</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.nxp.com/t5/user/viewprofilepage/user-id/261601"&gt;@Gayathriii&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Yes, this is absolutely possible on the MCXN947.&lt;/P&gt;
&lt;P&gt;For your use case:&lt;/P&gt;
&lt;P&gt;Upload my images → label them → train a model → run on MCXN947&lt;/P&gt;
&lt;P&gt;This is a classic BYOD workflow.&lt;/P&gt;
&lt;P&gt;Option 1: eIQ Model Creator&lt;/P&gt;
&lt;P&gt;Once your eIQ Model Creator access is approved:&lt;/P&gt;
&lt;P&gt;Create a new image classification project.&lt;BR /&gt;Upload your image dataset.&lt;BR /&gt;Label the images (or organize them by folders/classes).&lt;BR /&gt;Train a model using transfer learning.&lt;BR /&gt;Export a TensorFlow Lite model (.tflite).&lt;BR /&gt;Use the eIQ Neutron SDK to convert the model for MCXN947.&lt;BR /&gt;Integrate the converted model into your MCUXpresso project and run it on the board.&lt;/P&gt;
&lt;P&gt;Option 2: Train Yourself (TensorFlow)&lt;/P&gt;
&lt;P&gt;You do not actually need Model Creator.&lt;/P&gt;
&lt;P&gt;You can:&lt;/P&gt;
&lt;P&gt;Collect images.&lt;BR /&gt;Label them.&lt;BR /&gt;Train with TensorFlow/Keras.&lt;BR /&gt;Export&lt;/P&gt;
&lt;P&gt;Resources：&lt;/P&gt;
&lt;P&gt;1. MCXN947: How to Train and Deploy Customer ML Model to NPU&lt;/P&gt;
&lt;LI-CODE lang="markup"&gt;Images
   ↓
Training
   ↓
TensorFlow Lite model
   ↓
neutron-converter
   ↓
NPU-enabled .tflite
   ↓
MCUXpresso project
   ↓
MCXN947 NPU
``&lt;/LI-CODE&gt;
&lt;P&gt;&amp;nbsp;&lt;A href="https://community.nxp.com/t5/MCX-Microcontrollers-Knowledge/MCXN947-How-to-Train-and-Deploy-Customer-ML-model-to-NPU/ta-p/1899497" target="_blank"&gt;MCXN947：如何训练和部署客户 ML 模型到 NPU&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;2.&amp;nbsp;AN14241 - How to Integrate Customer ML Model to NPU on MCX N94x&lt;/P&gt;
&lt;DIV&gt;&lt;A href="https://www.newark.com/site/binaries/content/assets/common/product-family-documents/nxp-frdm-mcxn947/nxp-frdm-mcxn947-an9.pdf" target="_blank"&gt;How to Integrate Customer ML Model to NPU on MCX N94x&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV&gt;3.&amp;nbsp;How to Get Started with NPU and ML in MCX Microcontrollers&lt;/DIV&gt;
&lt;DIV&gt;&lt;A href="https://community.nxp.com/t5/MCX-Microcontrollers-Knowledge/How-to-get-started-with-NPU-and-ML-in-MCX-Microcontrollers/ta-p/1788440" target="_blank"&gt;MCX 微控制器中 NPU 与机器学习的入门指南&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV&gt;BR&lt;/DIV&gt;
&lt;DIV&gt;Harry&lt;/DIV&gt;</description>
      <pubDate>Thu, 03 Sep 2026 09:54:06 GMT</pubDate>
      <guid>https://community.nxp.com/t5/MCX-Microcontrollers/How-to-start-with-Model-training-and-vision-based-application-in/m-p/2410963#M5902</guid>
      <dc:creator>Harry_Zhang</dc:creator>
      <dc:date>2026-09-03T09:54:06Z</dc:date>
    </item>
  </channel>
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