SSD (Single Shot MultiBox Detector)

Single Shot MultiBox Detector (SSD) is a computer vision model used for detecting multiple objects in images quickly and accurately. It works by analyzing the image once, generating several potential object locations and identifying their categories simultaneously. SSD uses a series of convolutional neural networks to scan across different parts of the image at various scales, capturing small and large objects. This approach enables fast detection without sacrificing accuracy, making it suitable for real-time applications like autonomous vehicles, security systems, and mobile devices.