YOLOv8-16bit/examples/README.md

This is a list of real-world applications and walkthroughs. These can be folders of either python files or notebooks .

## 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 can you contribute ?

We're looking for examples, applications and guides from the community. Here's how you can contribute:

- Make a PR with `[Example]` prefix in title after adding your project folder in the examples/ folder of the repository
- The project should satisfy these conditions:
  - It should use ultralytics framework
  - It have a README.md with instructions to run the project
  - It should avoid adding large assets or dependencies unless absolutely needed
  - The contributor is expected to help out in issues related to their examples

If you're unsure about any of these requirements, make a PR and we'll happy to guide you