This repository implements RFB Net, an object detection model that uses Receptive Field Block (RFB) modules inspired by human visual systems to enhance feature discriminability. Built on top of SSD with lightweight backbone networks, it provides efficient single-shot detection with competitive accuracy. The implementation supports training and evaluation on standard detection benchmarks including VOC and COCO datasets.