ultralytics and YoloSharp
YoloSharp is a C# wrapper/binding for YOLO models that enables .NET developers to use Ultralytics YOLO inference, making them complements rather than competitors—you'd use YoloSharp specifically when you need to integrate YOLO detection into C# applications while Ultralytics provides the core model training and inference engine.
About ultralytics
ultralytics/ultralytics
Ultralytics YOLO 🚀
This project helps anyone needing to automatically identify, classify, or track objects and actions within images or videos. You provide visual media, and it outputs labeled bounding boxes, segmentation masks, or keypoints for recognized items. This is ideal for roles like security analysts, manufacturing quality control, agricultural inspectors, or retail inventory managers.
About YoloSharp
IntptrMax/YoloSharp
Train Yolo with C#
This is a tool for software developers who build applications that need to 'see' and understand images. It allows you to train custom image recognition models on your own datasets and then use them to identify objects, segments, poses, or bounding boxes within new images or video streams. The output can be used in applications for automated visual inspection, security monitoring, or spatial analysis. Developers working in C# or .NET environments will find this particularly useful.
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