R-CNN (2014)

R-CNN (Region-based convolutional neural networks) is the first member of the R-CNN family to apply object detection on images with two separate stages. As mentioned briefly, step one is obtaining regression predictions for final bounding boxes with four coordinates. The second step is a simple classifier to get class predictions for these boxes. Let’s examine exactly how the R-CNN architecture works!