YoloDotNet
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.
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Activity
- Latest release
- 7mo ago
- Total releases
- 18
- Cadence
- ~21 days
- Last 12 months
- 3
Reach
- Stars
- —
Details
- License
- MIT
- First release
- Dec 08, 2023
| Version | Released | |
|---|---|---|
4.2.0
minor
| ||
4.1.0
minor
| ||
4.0.0
major
| ||
3.1.1
patch
| ||
3.1.0
minor
| ||
3.0.0
major
| ||
2.3.0
minor
| ||
2.2.0
minor
| ||
2.1.0
minor
| ||
2.0.0
major
| ||
1.7.0
minor
| ||
1.6.0
minor
| ||
1.5.0
minor
| ||
1.4.0
minor
| ||
1.3.0
minor
| ||
1.2.0
minor
| ||
1.1.0
minor
| ||
1.0.0
initial
|