Hello developers, and welcome back.
In this section we're going to build this amazing app called Gadgets Detection App.
We're going to train our model to detect AirPods and hard disk.
You see guys how the image processing and the image classification in this app works fine by two objects
the AirPods and hard disk.
You add, you can add much more objects to to be detected.
But, uh, to make it simple, we use it as an example, the AirPods and the hard disk.
So we're going to detect the hard disk and the AirPods in different situations.
Okay.
So this is an amazing app starting by building the model in Teachable Machine with Dot with google.com
website, then getting the model as Tflite and adding it to a ML package with labels.
Also, we're going to create an amazing application with the camera library and TensorFlow library.
We'll start by building and implementing TensorFlow and camera two, and then moving to create the Composables
needed to start the camera and detect objects.
It's gonna be a very important and very amazing section to discover the power of adding machine learning
for the image classification.
So we're gonna learn and train how the model will process the image and detect the objects you specify.
Okay.
So this is our amazing app that we're going to build in this section.