Visual Object Recognition

Visual object recognition is the ability of a computer or system to identify and classify objects within images or videos, similar to how humans recognize different items. This process uses algorithms and models, often powered by artificial intelligence, to analyze visual data, breaking it down into features like shapes and colors. When trained on large datasets, these models learn to differentiate between various objects, such as animals, vehicles, or everyday items. As a result, visual object recognition is essential for applications like facial recognition, autonomous vehicles, and image search engines.