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tfjs-customvision

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TensorFlow.js Example: Using an Azure Custom Vision model to detect tuberculosis in a web browser

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# TensorFlow.js Example: Using an Azure Custom Vision model to detect tuberculosis in a web browser

This example shows you how to use a Machine Learning, which was created with the [Microsoft Azure Custom Vision](https://azure.microsoft.com/en-us/services/cognitive-services/custom-vision-service/) service, in a web browser application.

The [Tuberculosis X-Ray images](https://www.kaggle.com/kmader/pulmonary-chest-xray-abnormalities) used in this example, are from the Kaggle website and are not published with this repository.

## About

For more details about this project, please checkout my [YouTube Video](https://youtu.be/WFUL_oRT3nk):

[![Watch the video](https://img.youtube.com/vi/WFUL_oRT3nk/maxresdefault.jpg)](https://youtu.be/WFUL_oRT3nk)

## Setup

Prepare the node environments:
```sh
$ npm install
# Or
$ yarn
```

Run the local web server script:
```sh
$ node server.js
```

## Demo

If you wan't, you can test the deployed application under under [https://tfjs-imageclassification.azureedge.net](https://tfjs-imageclassification.azureedge.net).

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