This repository contains a Python port of the Faster R-CNN object detection system developed by Microsoft Research. The model uses region proposal networks trained end-to-end to learn object proposals, achieving near real-time detection. It is built on Caffe and includes approximate joint training that is faster than alternating optimization. The implementation is based on the earlier Fast R-CNN framework.