Faster R-CNN

Faster R-CNN is a computer vision system designed to identify and locate objects within images, such as cars or animals. It works by first scanning the image to find potential object areas (region proposals), then analyzing these regions to determine what the objects are and drawing bounding boxes around them. This process uses deep learning to improve accuracy and speed. Faster R-CNN is widely used in applications like self-driving cars, security systems, and image search, enabling machines to understand visual content more effectively.