RCNNcsalád
RCNNcsalád refers to a family of object detection algorithms that build upon the original Region-based Convolutional Neural Network (RCNN). These methods represent a significant advancement in computer vision for identifying and localizing objects within images. The core idea behind RCNN and its successors is to combine region proposal generation with deep convolutional neural networks for classification.
The original RCNN introduced a three-stage process. First, it used selective search to generate a large number
Subsequent models like Fast R-CNN and Faster R-CNN aimed to improve efficiency and accuracy. Fast R-CNN integrated