R-CNN (Region-based CNN)

R-CNN (Region-based Convolutional Neural Network) is a computer vision method used to detect objects within images. It works by first identifying multiple regions in an image that could contain objects, then analyzing each region with a deep learning model to determine what the object is. This approach allows the system to accurately locate and classify objects like cars, animals, or people. R-CNN combines traditional image processing with modern neural networks, improving object detection accuracy by focusing on specific parts of an image rather than analyzing the entire image at once.