Object recognition is a technology that enables computers to identify and classify objects within images or videos. It uses algorithms and machine learning techniques to analyze visual data, allowing machines to understand what they see. This process is essential in various applications, such as self-driving cars, facial recognition, and image search engines. The technology works by training models on large datasets containing labeled images. These models learn to recognize patterns and features associated with different objects, such as animals, vehicles, or furniture. Once trained, the models can accurately detect and categorize objects in new images, making them valuable tools in fields like robotics and surveillance.