Microsoft Azure AI Fundamentals (AI-900) Practice Exam

Determining if an image contains a person falls under computer vision, which is a field of AI focused on enabling machines to interpret and understand visual information from the world. Computer vision involves using algorithms to process and analyze images, allowing systems to identify objects, classify them, and ultimately understand their context within the visual data. It is particularly relevant to tasks such as image recognition, object detection, and scene understanding.

In this case, the task of recognizing a person in an image requires the application of techniques associated with computer vision. These techniques often integrate with machine learning models that have been trained to identify specific features associated with human figures, but it is the broader category of computer vision that encompasses the entire process of analyzing and interpreting the image.

While machine learning is a foundational technology that enables systems to learn from data, it must be paired with computer vision techniques to specifically handle visual input. Deep learning, which is a subset of machine learning, can be employed for specific tasks within computer vision, such as using neural networks to improve the accuracy of image classification. Augmented reality, on the other hand, relates to the interaction between real-world and digital elements, which is not directly relevant to the task of detecting a person in an image. Thus, computer vision is