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
100
Verified
YoloSharp
58
Established
Maintenance 25/25
Adoption 25/25
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: 10,095,391
Commits (30d): 138
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 🚀

Supports multi-task computer vision workflows including object tracking, instance segmentation, image classification, and pose estimation through a unified PyTorch-based architecture. Offers both CLI and Python API interfaces with pre-trained model weights, enabling rapid deployment across detection, segmentation, and estimation pipelines without extensive configuration.

About YoloSharp

IntptrMax/YoloSharp

Train Yolo with C#

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