YoloDotNet

v4.1.0

YoloDotNet is a modular, lightweight C# library for high-performance, real-time computer vision and YOLO-based inference in .NET. Built on .NET 8 and powered by ONNX Runtime, YoloDotNet provides explicit, production-ready inference for modern YOLO model families, including YOLOv5u through YOLOv26, YOLO-World, YOLO-E, and RT-DETR. The library features a fully modular execution architecture with pluggable execution providers for CPU, CUDA / TensorRT, Intel OpenVINO, Apple CoreML, and DirectML, enabling predictable deployment across Windows, Linux, and macOS. YoloDotNet intentionally avoids heavy computer vision frameworks such as OpenCV. Image handling and preprocessing are performed using SkiaSharp, with no Python runtime, no hidden preprocessing, and no implicit behavior. Designed for low-latency inference and long-running workloads, YoloDotNet gives developers full control over execution, memory usage, and preprocessing — allowing you to choose the hardware, platform, and execution backend without unnecessary abstraction or overhead.

NickSwardh

yolo yolov5u yolov8 yolov9 yolov10 yolov11 yolov12 yolov26 yolo8 yolo9 yolo10 yolo11 yolo26 yolo-world yolo-e onnx onnx-runtime execution-provider modular cross-platform cpu cuda gpu tensorrt openvino coreml nvidia intel apple directml classification object-detection segmentation pose-estimation obb oriented-bounding-box image-processing computer-vision video-processing media-processing skiasharp tracking machine-learning real-time inference

NuGet Stats Changelog

Total Downloads

76.4K

76,355

Published

Jan 17, 2026

Latest stable version

Install

.NET CLI

dotnet add package YoloDotNet --version 4.1.0

Package Manager Console

Install-Package YoloDotNet -Version 4.1.0

PackageReference

<PackageReference Include="YoloDotNet" Version="4.1.0" />

Frameworks

net8.0

Dependencies

SkiaSharp

net8.0

[3.119.1, )

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