Implementing Object Detection and Instance Segmentation for Data Scientists

Object Detection is a helpful tool to have in your coding repository.

It forms the backbone of many fantastic industrial applications. Some of them being self-driving cars, medical imaging and face detection.

In my last post on Object detection, I talked about how Object detection models evolved.

But what good is theory, if we can’t implement it?

This post is about implementing and getting an object detector on our custom dataset of weapons.

The problem we will specifically solve today is that of Instance Segmentation using Mask-RCNN.