R-CNN, Fast R-CNN, and Faster R-CNN Basics

regions with convolutional neural networks (R-CNN), combines rectangular region proposals with convolutional neural network features. R-CNN is a two-stage detection algorithm. The first stage identifies a subset of regions in an image that might contain an object. The second stage classifies the object in each region.

Applications for R-CNN object detectors include:

Autonomous driving

Smart surveillance systems

Facial recognition
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