Training Object Detection Model for Tensorflow Lite on Raspberry Pi

I have succesfully setup Tensorflow Lite object detection on my Raspberry Pi 3b+, I have tested it on some google sample models and can confirm it works properly.

I am looking to create my own custom Object Detection model and I am looking for the absolute easiest way to do this (preferably on Ubuntu but can use Windows). Does anyone have any good methos or tutorials. I have tried a couple Github tutorials as well as the Tensorflow Lite Model maker Colab with no luck.

Has anyone used any of these tools or have any experience/advice for training my own Tensorflow Lite Object detection Model for my Pi.