Fast RCNN - Object detection
Fast R-CNN, or Fast Region-based Convolutional Neural Network, is an advanced object detection algorithm designed to efficiently and accurately identify objects within images. Introduced by Ross Girshick in 2015, Fast R-CNN addresses the computational bottlenecks present in its predecessor, R-CNN (Region-based Convolutional Neural Network). The core innovation of Fast R-CNN lies in its ability to process entire images and all region proposals in a single, streamlined workflow, significantly enhancing both speed and accuracy.