This repository provides a TensorFlow implementation of Faster R-CNN, a convolutional neural network architecture for object detection. The model uses a region proposal network (RPN) to generate candidate bounding boxes, which are then classified and refined. It includes training scripts, a demo for running inference on images, and supports the VGG16 backbone network. The model was trained on PASCAL VOC 2007 dataset.