This repository contains companion code for a Paperspace tutorial series that walks through implementing the YOLO v3 object detector in PyTorch from scratch. It covers the core concepts of the YOLO architecture, including feature extraction, detection at multiple scales, and bounding box prediction. The code is educational and designed to help learners understand how modern object detection systems work under the hood.