Region based CNN system tries to locate objects in an image. Region proposals are just smaller parts of the original
image. Object detection can be a subset of computer vision which is also a programmed method for locating engrossing
objects in an image with respect to the background which involves detecting instances of objects from a particular class in an
image. In a distributed Edge-Cloud RCNN pipeline, the object detection pipeline will be split into various components. These
components are dynamically distributed in the cloud, and real time object detection will be enabled by optimal performance.
Using Bayesian Optimization, a sequential search algorithm proposes better bounding boxes of RCNN helps to reduce
localization error by tackling the localization problem by converting region proposal into an optimization problem and iteratively
solve it using Bayesian optimization as a black box optimizer
