I am very new to CNTK.
I wanted to train a set of images (to detect objects like alcohol glasses/bottles) using CNTK - ResNet/Fast-R CNN.

I am trying to follow below documentation from GitHub; However, it does not appear to be a straight forward procedure. <https://github.com/Microsoft/CNTK/wiki/Object-Detection-using-Fast-R-CNN>

I cannot find proper documentation to generate ROI's for the images with different sizes and shapes. And how to create object labels based on the trained models? Can someone point out to a proper documentation or training link using which I can work on the cntk model? Please see the attached image in which I was able to load a sample image with default ROI's in the script. How do I properly set the size and label the object in the image ? Thanks in advance!

[sample image loaded for training](https://i.stack.imgur.com/HDxzZ.jpg)