VisualObjectRecognition

Visual Object Recognition is the process by which computers or humans identify and categorize objects in images or real-world scenes. It involves analyzing visual features like shape, color, and texture to determine what an object is—such as recognizing a car, dog, or tree. In machines, this is achieved through algorithms that learn from many examples, enabling accurate identification even in different lighting, angles, or contexts. This technology is essential for applications like image search, autonomous vehicles, and facial recognition, helping systems understand and interpret visual information similarly to human perception.