This talk is designed to demonstrate how to build a functional Object Detection Tenforflow model using a small or limted training set. Considering Deep Learning use cases require large amount of data, Data Augumentation practices can be utlized to create synthetic training explains required for an adaquet training set. This talk will walk the audience through journey of overcoming these issues and build working models.