SSD (Single Shot Multibox Detector) is a Deep learning model used for Object Detection that performs both Classification and localization in a single Forward pass through the network, making it faster and more efficient than Two-stage detectors like Faster R-CNN. It utilizes a series of Convolutional Layers to Predict object classes and Bounding box locations at Multiple scales, allowing it to handle Objects of varying sizes within an image effectively.