Object Detection
Object detection is a computer vision and image processing technique that identifies and locates objects within digital images or videos. It involves both classifying objects (e.g., person, car, dog) and drawing bounding boxes around them to specify their positions. This technology is fundamental for applications like autonomous vehicles, surveillance, and augmented reality.
Developers should learn object detection when building systems that require real-time analysis of visual data, such as in robotics, security monitoring, or medical imaging. It is essential for tasks like pedestrian detection in self-driving cars, inventory tracking in retail, and facial recognition in biometric systems, enabling machines to interpret and interact with their environment.