faster-RCNN

Faster R-CNN (Faster Region-based Convolutional Neural Network) is a popular object detection algorithm in computer vision. It is an extension of the R-CNN and Fast R-CNN algorithms, which use a region proposal network to generate object proposals and a convolutional neural network to classify those proposals. Faster R-CNN further improves the speed and accuracy of object detection by replacing the selective search algorithm used in R-CNN and Fast R-CNN with a region proposal network that shares convolutional features with the object detection network. This allows for end-to-end training of the entire system and reduces the time required for object detection. Faster R-CNN has achieved state-of-the-art results on various object detection benchmarks.