Add YOLOv11 OBB demo from TS under IoT category

[FlamingoTS-bot]

Project Outline:
Oriented object detection goes a step further than standard object detection by introducing an extra angle to locate objects more accurately in an image. The output of an oriented object detector is a set of rotated bounding boxes that precisely enclose the objects in the image, along with class labels and confidence scores for each box.
Deploy yolo11-obb for oriented bounding boxes object detection. (The model is downloaded from open source)
Hardware Requirements :
6490（RB3G2 LU）
Demo output：
Github: [https://github.com/ThunderSoft-XA/YOLOv11_OBB]

[FlamingoTS-bot]

Sorry about giving the wrong link previously. You can access to the demo with the link below this time.
Project Outline:
Oriented object detection goes a step further than standard object detection by introducing an extra angle to locate objects more accurately in an image. The output of an oriented object detector is a set of rotated bounding boxes that precisely enclose the objects in the image, along with class labels and confidence scores for each box.
Deploy yolo11-obb for oriented bounding boxes object detection. (The model is downloaded from open source)
Hardware Requirements :
6490（RB3G2 LU）
Demo output：https://github.com/ThunderSoft-XA/YOLOv11-OBB-demo-in-QCS6490

[github-actions]

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[FlamingoTS-bot]

Could you please help to review when convenient?