Inquiry About YOLO26n Deployment on AMB82-Mini Using Custom Model Conversion

Arduino SDK
1

Dear Realtek AI Support Team,

I am currently working on an AI object detection project using the Realtek AMB82-Mini development board. I would like to train and deploy the YOLO26n model for real-time object detection.

I reviewed your model conversion instructions, which mention TensorFlow versions up to 2.14.1 and saving models in .h5 format using include_optimizer=False.

However, I have some questions regarding YOLO26n compatibility.

My questions are:

  1. Does the Realtek AI model conversion tool support YOLO26n for deployment on the AMB82-Mini?

  2. Can I train YOLO26n using Google Colab and convert the trained model into a Realtek-compatible .nb file?

  3. Is it possible to convert YOLO26n into TensorFlow/Keras .h5 format and submit it to your conversion service?

  4. Does the AMB82-Mini support running YOLO26n using the 0.4 TOPS NPU?

  5. Is there an offline model conversion tool available that supports custom YOLO architectures?

  6. If YOLO26n is not currently supported, are there any recommended methods for deploying custom YOLO models without using the Realtek conversion tool?

  7. Is there any documentation or example available for deploying custom object detection models using TensorFlow Lite or another supported runtime?

My intended workflow is:

Google Colab
    ↓
Train YOLO26n
    ↓
Export trained model
    ↓
Realtek model conversion
    ↓
Deploy on AMB82-Mini
    ↓
Real-time camera object detection

I would appreciate your guidance on the supported model formats, conversion requirements, and recommended deployment process.

Thank you for your support.

2

:waving_hand: Thanks for posting!

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