Faster R-CNN is an advanced deep learning model used for object detection in images. It improves upon earlier models by combining region proposal and object detection into a single, efficient process. This means it can quickly identify where objects are in an image and classify them, making it faster than previous methods. The model uses a Convolutional Neural Network (CNN) to extract features from images and a special component called a Region Proposal Network (RPN) to suggest potential object locations. This streamlined approach allows Faster R-CNN to achieve high accuracy while maintaining speed, making it popular for various applications in computer vision.