Update YOLOv8-ONNXRuntime-Rust README (#11773)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

examples/README.md

@@ -19,6 +19,7 @@ This repository features a collection of real-world applications and walkthrough
 | [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
 

examples/YOLOv8-ONNXRuntime-Rust/README.md

@@ -1,10 +1,17 @@
 # YOLOv8-ONNXRuntime-Rust for All the Key YOLO Tasks
 
-This repository provides a Rust demo for performing YOLOv8 tasks like `Classification`, `Segmentation`, `Detection` and `Pose Detection` using ONNXRuntime.
+This repository provides a Rust demo for performing YOLOv8 tasks like `Classification`, `Segmentation`, `Detection`, `Pose Detection` and `OBB` using ONNXRuntime.
+
+## Recently Updated
+
+- Add YOLOv8-OBB demo
+- Update ONNXRuntime to 1.17.x
+
+Newly updated YOLOv8 example code is located in this repository (https://github.com/jamjamjon/usls/tree/main/examples/yolov8)
 
 ## Features
 
-- Support `Classification`, `Segmentation`, `Detection`, `Pose(Keypoints)-Detection` tasks.
+- Support `Classification`, `Segmentation`, `Detection`, `Pose(Keypoints)-Detection`, `OBB` tasks.
 - Support `FP16` & `FP32` ONNX models.
 - Support `CPU`, `CUDA` and `TensorRT` execution provider to accelerate computation.
 - Support dynamic input shapes(`batch`, `width`, `height`).