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Object Detection refers to the ability of computer systems to identify and locate objects within images or video streams. It involves the use of machine learning algorithms, particularly deep learning models such as Convolutional Neural Networks (CNNs), to analyze visual data and accurately detect instances of specific object classes. In this hierarchy, Object Detection is a key application of CNNs within the broader field of Deep Learning, which itself falls under Artificial Intelligence and Technology. Object Detection models can be trained on large datasets of annotated images to learn the features that distinguish different types of objects, allowing them to generalize and accurately detect those objects in new, unseen images or video streams. These models are widely used in various industries such as security, automotive, healthcare, and retail for applications ranging from facial recognition to autonomous vehicles and surveillance systems.