WEBVTT

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Hello developers, and welcome back.

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In this section we're going to build this amazing app called Gadgets Detection App.

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We're going to train our model to detect AirPods and hard disk.

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You see guys how the image processing and the image classification in this app works fine by two objects

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the AirPods and hard disk.

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You add, you can add much more objects to to be detected.

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But, uh, to make it simple, we use it as an example, the AirPods and the hard disk.

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So we're going to detect the hard disk and the AirPods in different situations.

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Okay.

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So this is an amazing app starting by building the model in Teachable Machine with Dot with google.com

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website, then getting the model as Tflite and adding it to a ML package with labels.

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Also, we're going to create an amazing application with the camera library and TensorFlow library.

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We'll start by building and implementing TensorFlow and camera two, and then moving to create the Composables

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needed to start the camera and detect objects.

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It's gonna be a very important and very amazing section to discover the power of adding machine learning

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for the image classification.

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So we're gonna learn and train how the model will process the image and detect the objects you specify.

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Okay.

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So this is our amazing app that we're going to build in this section.