RefineDet is an object detection model that achieves better accuracy than two-stage methods while maintaining comparable efficiency of one-stage methods. The repository provides code for training and evaluating the detector, implemented in C++, with support for multi-scale testing. It uses VGG16 as the backbone and achieves 81.8% mAP on VOC2007 at 24 FPS on a Titan X GPU.