## 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 ) |
| [YOLOv8 .NET ONNX ImageSharp ](https://github.com/dme-compunet/YOLOv8 ) | C#/ONNX/ImageSharp | [Compunet ](https://github.com/dme-compunet ) |
| [YOLO .Net ONNX Detection C# ](https://www.nuget.org/packages/Yolov8.Net ) | C# .Net | [Samuel Stainback ](https://github.com/sstainba ) |
| [YOLOv8 on NVIDIA Jetson(TensorRT and DeepStream) ](https://wiki.seeedstudio.com/YOLOv8-DeepStream-TRT-Jetson/ ) | Python | [Lakshantha ](https://github.com/lakshanthad ) |
| [YOLOv8 ONNXRuntime Python ](./YOLOv8-ONNXRuntime ) | Python/ONNXRuntime | [Semih Demirel ](https://github.com/semihhdemirel ) |
| [YOLOv8 ONNXRuntime CPP ](./YOLOv8-ONNXRuntime-CPP ) | C++/ONNXRuntime | [DennisJcy ](https://github.com/DennisJcy ), [Onuralp Sezer ](https://github.com/onuralpszr ) |
| [RTDETR ONNXRuntime C# ](https://github.com/Kayzwer/yolo-cs/blob/master/RTDETR.cs ) | C#/ONNX | [Kayzwer ](https://github.com/Kayzwer ) |
| [YOLOv8 SAHI Video Inference ](https://github.com/RizwanMunawar/ultralytics/blob/main/examples/YOLOv8-SAHI-Inference-Video/yolov8_sahi.py ) | Python | [Muhammad Rizwan Munawar ](https://github.com/RizwanMunawar ) |
| [YOLOv8 Region Counter ](https://github.com/RizwanMunawar/ultralytics/blob/main/examples/YOLOv8-Region-Counter/yolov8_region_counter.py ) | Python | [Muhammad Rizwan Munawar ](https://github.com/RizwanMunawar ) |
| [YOLOv8 Segmentation ONNXRuntime Python ](./YOLOv8-Segmentation-ONNXRuntime-Python ) | Python/ONNXRuntime | [jamjamjon ](https://github.com/jamjamjon ) |
| [YOLOv8 LibTorch CPP ](./YOLOv8-LibTorch-CPP-Inference ) | C++/LibTorch | [Myyura ](https://github.com/Myyura ) |
| [YOLOv8 OpenCV INT8 TFLite Python ](./YOLOv8-OpenCV-int8-tflite-Python ) | Python | [Wamiq Raza ](https://github.com/wamiqraza ) |
| [YOLOv8 All Tasks ONNXRuntime Rust ](./YOLOv8-ONNXRuntime-Rust ) | Rust/ONNXRuntime | [jamjamjon ](https://github.com/jamjamjon ) |
### How to Contribute
We greatly appreciate contributions from the community, including examples, applications, and guides. If you'd like to contribute, please follow these guidelines:
1. **Create a pull request (PR)** with the title prefix `[Example]` , adding your new example folder to the `examples/` directory within the repository.
2. **Ensure your project adheres to the following standards:**
- Makes use of the `ultralytics` package.
- Includes a `README.md` with clear instructions for setting up and running the example.
- Avoids adding large files or dependencies unless they are absolutely necessary for the example.
- Contributors should be willing to provide support for their examples and address related issues.
For more detailed information and guidance on contributing, please visit our [contribution documentation ](https://docs.ultralytics.com/help/contributing ).
If you encounter any questions or concerns regarding these guidelines, feel free to open a PR or an issue in the repository, and we will assist you in the contribution process.
