How to Train a YOLOv5 Oriented Bounding Box Model

Ultralytics released YOLOv8 Oriented Bounding Boxes in 2024, which outperforms YOLOv5 by utilizing rotated bounding boxes to more accurately detect angled objects, as illustrated with a pill detection dataset. The tutorial details the use of YOLOv5-obb for oriented object detection, starting with exporting an annotated dataset from Roboflow, a tool that allows for free dataset management and format conversion for up to 10,000 images. The process involves setting up the YOLOv5-OBB repository, installing necessary packages, and training the model with the dataset structured in a specific format, using code snippets provided in a Google Colab notebook. After training, detection is performed using the trained model, and users are encouraged to explore additional datasets available on Roboflow Universe for further practice.