Deep Learning method for object detection: R-CNN explained

#artificialintelligence 

CNN's have been extensively used to classify images. But to detect an object in an image and to draw bounding boxes around them is a tough problem to solve. To solve this problem, R-CNN algorithm was published in 2014. After R-CNN, many of its variants like Fast-R-CNN, Faster-R-CNN and Mask-R-CNN came which improvised the task of object detection. To understand the latest R-CNN variants, it is important to have a clear understanding of R-CNN.

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