Object Detection: Models, Use Cases, Examples

Object detection is a computer vision technique that identifies and localizes objects within images or video frames using machine learning and deep learning algorithms. It has various practical applications, including medical imaging, security systems, and self-driving cars. Object detection differs from image classification as it not only classifies multiple objects in an image but also provides location information through bounding boxes. Deep learning architectures like YOLO, SSD, and R-CNN have made modern object detection models possible, with numerous real-world applications across industries such as healthcare, retail, automotive, and more.