Faster R-CNN, introduced in 2016, solves the final piece of the object-detection puzzle by integrating the region extraction mechanism into the object detection network. Faster R-CNN takes an ...

The CNN first extracts features from the image using a series of convolutional and pooling layers and then uses these features to make predictions about the presence of different objects.