## Ultralytics YOLOv8 Example Applications
This repository features a collection of real-world applications and walkthroughs, provided as either Python files or notebooks. Explore the examples below to see how YOLOv8 can be integrated into various applications.
### Ultralytics YOLO Example Applications
| Title | Format | Contributor |
| ------------------------------------------------------------------------ | ------------------ | --------------------------------------------------- |
| [YOLO ONNX Detection Inference with C++ ](./YOLOv8-CPP-Inference ) | C++/ONNX | [Justas Bartnykas ](https://github.com/JustasBart ) |
| [YOLO OpenCV ONNX Detection Python ](./YOLOv8-OpenCV-ONNX-Python ) | OpenCV/Python/ONNX | [Farid Inawan ](https://github.com/frdteknikelektro ) |
| [YOLO .Net ONNX Detection C# ](https://www.nuget.org/packages/Yolov8.Net ) | C# .Net | [Samuel Stainback ](https://github.com/sstainba ) |
### How to Contribute
We welcome contributions from the community in the form of examples, applications, and guides. To contribute, please follow these steps:
1. Create a pull request (PR) with the `[Example]` prefix in the title, adding your project folder to the `examples/` directory in the repository.
1. Ensure that your project meets the following criteria:
- Utilizes the `ultralytics` package.
- Includes a `README.md` file with instructions on how to run the project.
- Avoids adding large assets or dependencies unless absolutely necessary.
- The contributor is expected to provide support for issues related to their examples.
If you have any questions or concerns about these requirements, please submit a PR, and we will be more than happy to guide you.
