This repository implements Scaled-YOLOv4, a deep learning object detection architecture that scales from tiny to large model variants using cross-stage partial networks. It is built on PyTorch and provides pretrained weights across YOLOv4-P5, P6, and P7 model sizes with test-time augmentation support. The project targets computer vision practitioners deploying object detection systems.