Nx AI Manager Documentation
  • Nx AI Manager plugin v4.4
  • Nx AI Manager
    • Get started with the NX AI Manager plugin
    • 1. Install Network Optix
    • 2. Install Nx AI Manager Plugin
    • 3. Configure the Nx AI Manager plugin
      • 3.1 Model Settings
      • 3.2 Model pipeline selection and configuration
      • 3.3 Model pipelines on multiple devices
    • 4. Other Network Optix Plugin Settings
    • 5. Manual Plugin Installation
    • 6. Removing the Nx AI Manager
    • 7. Advanced configuration
      • 7.1 Nx AI Manager Manual Installation
      • 7.2 External Post-processing
      • 7.3 External Pre-processing
      • 7.4 Training Loop
      • 7.5 Enable ini settings
  • Nx AI Cloud
    • Introduction
    • Registration and log-in
    • Deployment and device management
    • Upload your model
      • Normalization
    • Use your model
    • API Documentation
  • SUPPORT & TROUBLESHOOTING
    • How to get support
    • Troubleshooting
      • Plugin checks
      • OS checks
      • System checks
      • Things to try
      • Controlling the server and the plugin
      • Q&A
  • Videos
    • Howto videos
  • AI Accelerators Support
    • Introduction
    • Supported AI accelerators
    • Nvidia Support
    • OpenVino Support
    • Hailo Support
  • For Data Scientists
    • Introduction
    • About ONNX
    • Custom model creation
    • ONNX requirements
    • Importing models
      • From Edge Impulse
      • From Nota AI
      • From Teachable Machine
      • From Hugging Face
      • From Ultralytics
      • From PyTorch
      • From TensorFlow / TFLite
      • From Scikit-learn
      • Common Models
  • Miscellaneous
    • Nx AI Certification Test
    • Nx AI Manager on SCAiLX
    • Privacy policy
    • Support
    • End user license agreement
    • Nx cloud cookie statement
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On this page
  • About Teachable Machine
  • Model deployment from Teachable Machine
  1. For Data Scientists
  2. Importing models

From Teachable Machine

PreviousFrom Nota AINextFrom Hugging Face

About Teachable Machine

is a web-based tool that makes creating machine learning models fast, easy, and accessible to everyone.

Model deployment from Teachable Machine

We currently support super easy exports from image classification models trained using Teachable Machine to Nx AI Platform. The steps are:

  1. First, start a .

  2. Next, follow the Teachable machine instructions to train your image classification model. You can find useful instruction video's .

  3. After the model has been trained Click the "Export Model" button (see image).

  4. Select the TensorFlow lite tab, and click Download my model.

  5. After few seconds "Converting model", you will be able to download a .zip archive

  6. Upload the zip archive directly through the admin platform.

Teachable Machine
new standard image project in Teachable Machine
here