This repository provides a complete PyTorch implementation of the YOLOv2 (You Only Look Once) object detection architecture. It supports training models from scratch or fine-tuning pretrained weights on standard benchmarks including VOC2007, VOC2012, COCO2014, and COCO2017 datasets. The implementation includes data loading pipelines, training loops, and evaluation scripts for single-stage detector inference.