In our last post, we had a quick overview of Object Detection and the various approaches and methods used to tackle this problem in Computer Vision. Now, it's time to dive deep into the popular methods of building a State-of-the-Art Object Detector. In particular, we shall focus on one of the earliest methods - Region-Based Convolutional Neural Network Family of Object Detectors. The reason it is called R-CNN is that with modifications to a CNN architecture in terms of structuring or adding auxiliary networks or layers, the Object Detector was built, albeit not achieving the state of the art performance. R-CNN is the best way to start in the Object Detection space.