Object detection is a computer vision technique used to identify and locate objects within images or video frames. It involves training machine learning models to recognize and label objects in a scene, often using bounding boxes to outline their positions.
Practical applications of object detection include autonomous vehicles, where it is used to detect pedestrians, other vehicles, and obstacles; retail inventory management systems that identify products on store shelves; and security systems that can recognize intruders or unusual activities.
