Classification is a fundamental computer vision task focused on identifying whether specific classes of objects are present within an image, without determining their spatial locations. This task serves as a crucial building block for various applications, enabling computers to categorize images into predefined classes based on the features they contain.
For instance, in a medical imaging context, it can be used to determine if an X-ray image shows signs of a particular disease; in a security system, it can identify whether an image contains prohibited items. By leveraging machine learning algorithms and deep-learning models, classification algorithms analyze the visual data in an image to make accurate class predictions.