Visual recognition is a technology that enables computers to identify and classify objects, scenes, and activities in images or videos. It uses algorithms and machine learning techniques to analyze visual data, allowing machines to understand and interpret what they see. This technology is widely used in applications such as facial recognition, autonomous vehicles, and image search engines. The process of visual recognition typically involves training a model on a large dataset of labeled images. Once trained, the model can recognize patterns and features in new images, making it possible to detect specific objects or categorize scenes. This capability is essential for advancements in fields like artificial intelligence and computer vision.