Object Detection
Object Detection is a computer vision task that identifies objects within an image or video and determines their locations, typically by drawing bounding boxes around detected objects.
What is Object Detection?
Object detection models analyze visual data to identify objects and assign them to predefined categories, such as people, vehicles, or animals. Unlike image classification, which assigns a label to an entire image, object detection identifies multiple objects and provides their approximate locations within the scene.
Why is Object Detection Important?
Object detection enables AI systems to understand what objects are present in visual environments and where they are located. It supports automated analysis of images and video and is an important component of many real-time computer vision applications.
Common use cases
Object Detection is commonly used in autonomous vehicles, security systems, surveillance, medical imaging, retail analytics, manufacturing, robotics, and traffic monitoring.