Shypd.aiThe largest open index of AI toolsYoloDotNet is an open-source computer vision library that provides blazing-fast YOLO inference for .NET. It supports classification, object detection, segmentation, and pose estimation in images and live video streams.
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YoloDotNet is a modular, lightweight C# library built on .NET 8, ONNX Runtime, and SkiaSharp, designed for real-time computer vision and YOLO-based inference. It offers high-performance inference for modern YOLO model families (YOLOv5u through YOLOv26, YOLO-World, YOLO-E, and RT-DETR) without relying on heavy computer vision frameworks like OpenCV or Python runtimes. Developers gain explicit control over execution, memory, and preprocessing, making it ideal for production-ready desktop apps, backend services, and real-time vision pipelines requiring deterministic behavior. It supports various vision tasks including classification, object detection, OBB detection, segmentation, and pose estimation, with flexible execution providers for CPU, CUDA/TensorRT, OpenVINO, CoreML, and DirectML.
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