SSD is a single-stage object detection algorithm that predicts object classes and bounding boxes directly from an image in one forward pass. It uses convolutional layers to generate a set of default boxes at different scales and aspect ratios across the image. SSD is known for its speed and relatively good accuracy, making it suitable for applications like mobile device-based object detection in real-time video apps. It has been used in scenarios such as mobile augmented reality games for detecting and interacting with virtual objects placed on real-world scenes.
