YoloDotNet wraps ONNX Runtime to provide .NET developers with efficient YOLO model execution on CPU and GPU (CUDA, TensorRT, OpenVINO, CoreML, DirectML). It supports multiple vision tasks including object detection, oriented bounding boxes, instance segmentation, pose estimation, and image classification. The library avoids OpenCV dependencies and provides explicit configuration for deterministic, production-ready inference in desktop apps and backend services.