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.

ultralytics
87
Verified
YoloSharp
58
Established
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 54,333
Forks: 10,447
Downloads:
Commits (30d): 151
Language: Python
License: AGPL-3.0
Stars: 219
Forks: 47
Downloads:
Commits (30d): 0
Language: C#
License: Apache-2.0
No risk flags
No Package No Dependents

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.

object-detection video-surveillance quality-inspection asset-tracking image-analysis

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.

object-detection image-segmentation pose-estimation visual-inspection C#-development

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