How R-CNN Works on Object Detection?

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.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI