This repository adapts YOLOv5 to perform rotated bounding box detection for oriented objects, which is useful for aerial and satellite imagery where objects appear at various angles. It implements the Circular Smooth Label (CSL) technique from the associated research paper to handle angle prediction in a classification-like manner. The project provides pre-trained models and training/inference pipelines evaluated on the DOTA dataset.