This repository provides a from-scratch implementation of YOLOv3 and the darknet53 backbone in PyTorch, enabling custom backbone networks like ResNet or DenseNet. It supports training on the COCO dataset with configurable parameters and includes pretrained weights for both the backbone and full model. The project features TensorBoard integration for training visualization and serves as a reference implementation for computer vision researchers.