Actually our application is detecting objects, but the labels are not correct.
So this is not a vase.
This is a keyboard.
And this is not, uh, saying it's, um, a laptop or a computer or a PC or a screen.
And this is not a book, it's the mouse.
Okay, so how to fix this?
Uh, that the error is in the labels.
Let's open the Coco data sets labels.
And by the way the Coco data set is missed.
And after research for the correct Coco labels I found this, uh, this um label dot.
TXT file.
It contains 91, uh objects.
And this is the correct one.
So 91 objects.
Let me copy this list and paste it here inside our Coco data set labels.
And let's run our application again.
And here we go.
This is the keyboard.
We have two keyboards and this is the monitor TV monitor.
This is the laptop, this is the TV and so on.
This is the mouse okay.
This is another mouse.
This is the book.
This is a paper, but actually detecting it.
Okay.
So you see this is the TV monitor.
This is TV, another TV monitor and this is the mouse okay.
So congratulations guys.
We are detecting the objects.
We are succeeding in creating this amazing app that detect objects using SSD mobile.
Net TensorFlow Lite model.