R-CNN (Region-based Convolutional Neural Networks)

R-CNN (Region-based Convolutional Neural Networks) is an advanced computer vision method used for object detection. It works by first identifying several regions in an image that could contain objects, then analyzing each region individually using a deep learning model to determine what object, if any, is present. This process allows the system to accurately locate and classify multiple objects within complex images, such as detecting cars, people, or animals. R-CNN combines traditional image analysis with deep learning, enabling more precise and efficient object detection compared to earlier methods.