R-CNN

R-CNN (Region-based Convolutional Neural Network) is a computer vision technique used to detect and identify objects within images. It works by first generating many possible regions where objects might be located, then analyzing each region using a deep learning model to determine what object it contains. This process allows R-CNN to accurately locate and classify multiple objects in complex scenes. Essentially, it combines the idea of narrowing down potential object areas with detailed analysis, enabling computers to recognize and understand objects in images more effectively.