CNN (Convolutional Neural Network) is a deep learning model designed to recognize patterns in structured grid-like data, especially images. It processes an input through layers of filters that detect features such as edges, shapes, textures, and increasingly complex visual patterns, allowing the network to determine what the image or visual content represents.
CNNs are widely used for image classification, object detection, facial analysis, medical image interpretation, and quality inspection. Their ability to learn visual features automatically makes them particularly effective when analyzing images or video frames, where recognizing spatial relationships between nearby pixels is important.
