Recognize custom objects with TensorFlow.js

TensorFlow.js is a powerful machine learning library that allows developers to train and deploy machine learning models directly in the browser using JavaScript. With TensorFlow.js, you can recognize and classify custom objects using pre-trained models or by training your own models.

Getting started with TensorFlow.js

To get started with TensorFlow.js, you first need to include the TensorFlow.js library in your HTML file. You can do this by adding the following script tag to your HTML file:

Once you have included the TensorFlow.js library, you can start using it to recognize custom objects.

Recognizing custom objects

To recognize custom objects with TensorFlow.js, you can use pre-trained models like MobileNet or train your own models using TensorFlow.js. Here’s an example of how you can use a pre-trained MobileNet model to recognize custom objects:


const model = await tf.loadLayersModel('https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_1.0_224/model.json');
const image = document.getElementById('custom-image');
const tensor = tf.browser.fromPixels(image)
.resizeNearestNeighbor([224, 224])
.toFloat()
.expandDims();
const predictions = await model.predict(tensor).data();
console.log(predictions);


In this example, we load the MobileNet model using tf.loadLayersModel() and then use it to predict the class of a custom image. The predictions are logged to the console.

Training custom models

If you want to train your own custom models to recognize specific objects, you can use TensorFlow.js to do so. You can use tools like TensorFlow.js Converter to convert existing models to TensorFlow.js format, or you can train models from scratch using the TensorFlow.js Core API.

Conclusion

With TensorFlow.js, recognizing custom objects in the browser has never been easier. Whether you want to use pre-trained models like MobileNet or train your own custom models, TensorFlow.js provides the tools and resources you need to get started with machine learning in the browser.