Tflite modelmaker object detection: normalizing bounding box values

I am new to TF lite object detection and have gone through the tutorial:

and I think I understand it reasonably well. However, I notice that the bounding box is somehow normalised.

So, when I have my own dataset, each row looks like so (only 1 class:


How does one normalise these coordinates values for tflite input?

Thank you!