R-CNN (Regions with CNN features)

R-CNN (Regions with CNN features) is an object detection method that identifies and locates objects within an image. It works by first generating multiple region proposals—parts of the image that might contain objects. Each region is then analyzed using a convolutional neural network (CNN) to extract detailed features. These features are classified to determine the object type, and their positions help draw bounding boxes around objects. Essentially, R-CNN combines traditional region proposals with deep learning to accurately detect and label objects in images.