Update README.md

Signed-off-by: Glenn Jocher <[email protected]>

Author: glenn-jocher

README.md

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 Welcome to the [JSON2YOLO](https://github.com/ultralytics/JSON2YOLO) repository! This toolkit is designed to help you convert datasets in [JSON](https://www.ultralytics.com/glossary/json) format, particularly those following the [COCO (Common Objects in Context)](https://cocodataset.org/#home) standards, into the [YOLO format](https://docs.ultralytics.com/datasets/#yolo-format). The YOLO format is widely recognized for its efficiency in [real-time](https://www.ultralytics.com/glossary/real-time-inference) [object detection](https://docs.ultralytics.com/tasks/detect/) tasks.
 
-This conversion process is essential for [machine learning](https://www.ultralytics.com/glossary/machine-learning-ml) practitioners looking to train object detection models using frameworks compatible with the YOLO format, such as [Ultralytics YOLO](https://docs.ultralytics.com/models/yolo/). Our code is flexible and designed to run across various platforms including Linux, macOS, and Windows.
+This conversion process is essential for [machine learning](https://www.ultralytics.com/glossary/machine-learning-ml) practitioners looking to train object detection models using frameworks compatible with the YOLO format, such as [Ultralytics YOLO](https://docs.ultralytics.com/models/yolo11/). Our code is flexible and designed to run across various platforms including Linux, macOS, and Windows.
 
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