Title (ML Task)

Short description of ML Task. Link off to relevant content on the TF docs for background info.

Get started

Image of model output (preferably GIFs)

If you are new to TensorFlow Lite and are working with Android or iOS, we recommend exploring the following example applications that can help you get started.

<a class="button button-primary" href="https://github.com/tensorflow/examples/tree/master/lite/examples/../android">Download Android model</a> <a class="button button-primary" href="https://github.com/tensorflow/examples/tree/master/lite/examples/../ios">Download iOS model</a>

If you are using a platform other than Android/iOS, or if you are already familiar with the TensorFlow Lite APIs, download the starter model and supporting files (if applicable).

<a class="button button-primary" href="https://storage.googleapis.com/download.tensorflow.org/models/tflite/starter_model">Download starter model</a>

Model description

In this section, include content about:

How it works

• How does the model work? Provide usage instructions with examples as appropriate.

Inputs

• Which format does the model expect inputs in?
• How can the user convert inputs of a certain type into a compatible format?

Outputs

• How does the user interpret the model results?

Limitations

• What can the user not do with the model?

Model customization

• How can the user customize this model to work with their datasets?

Performance benchmarks

Further reading and resources

• Academic paper (if applicable)
• Use cases
• Other resources