YoloSide wraps the Ultralytics YOLOv8 model with a PySide6-based interface, enabling users to run object detection inference on images and videos. Users can load their own trained models from the models folder, adjust detection parameters like confidence threshold, and view results with bounding boxes. The application saves detection outputs to a run directory and uses standard Qt UI files that can be regenerated with pyside6-uic.