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How R-CNN Works on Object Detection?
Latest   Machine Learning

How R-CNN Works on Object Detection?

Last Updated on July 20, 2023 by Editorial Team

Author(s): Edward Ma

Originally published on Towards AI.

Introduction to Region with Convolutional Neural Networks (R-CNNs)

Photo by Edward Ma on Unsplash

Region with Convolutional Neural Network (R-CNN) is proposed by Girshick et al. in 2013. It changed the object detection field fundamentally. By leveraging selective search, CNN and SVM, Girshick et al. achieved a very good result in VOC 2012.

This story will introduce R-CNN while later series will cover Fast R-CNN, Faster R-CNN and Mask R-CNN that is introduced by Girshick and other team members as well. Besides, there are other objection detection approaches such as Single-Shot Object Detector (SSD) and You Only Look Once (YOLO).

The objective of image classification is classifying the category of the… Read the full blog for free on Medium.

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