This repository provides a step-by-step tutorial for implementing the SSD (Single Shot Multibox Detector) object detection model from scratch using PyTorch. It covers concepts, implementation details, training procedures, evaluation metrics, and inference workflows. The tutorial assumes basic knowledge of PyTorch and convolutional neural networks.