This repository provides a TensorFlow implementation of SSD, a unified framework for object detection using a single neural network. It includes VGG-based SSD networks with 300 and 512 input resolutions, modular architecture for extending to other backbone networks like ResNet or Inception, and scripts for dataset handling (Pascal VOC, COCO), network definitions, and preprocessing routines.