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Object Detection

Object detection is a technology used in computer vision that enables machines to identify and locate objects within images or videos. It combines two tasks: recognizing what objects are present (like cars, dogs, or people) and determining where they are in the visual frame using bounding boxes. This technology powers various applications, such as self-driving cars, security surveillance, and image search engines. By analyzing visual data, object detection helps computers understand their environment, enhancing automation and decision-making in numerous fields.

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    Object detection is a technology that enables computers to identify and locate objects within images or videos. It uses algorithms to analyze visual data, recognizing various objects like cars, people, or animals and determining their positions. This process combines techniques from computer vision and machine learning. Applications of object detection include self-driving cars, video surveillance, and photo organization. By understanding and interpreting visual information, it enhances how machines interact with the world around them, facilitating tasks that require an awareness of specific objects and their environments.