The project implements a two-stage object detector, based on Faster R-CNN which consists of two modules- Region Proposal Networks (RPN) or otherwise called rpn head and Fast R-CNN.
The network is trained to detect a set of object classes and evaluate detection accuracy using the classic metric mean AveragePrecision mAP
