The yolo11 object detection model I exported to coreml stopped working in macOS15.2 beta.

After updating to macOS15.2beta, the Yolo11 object detection model exported to coreml outputs incorrect and abnormal bounding boxes.

It also doesn't work in iOS apps built on a 15.2 mac.

The same model worked fine on macOS14.1.

When training a Yolo11 custom model in Python, exporting it to coreml, and testing it in the preview tab of mlpackage on macOS15.2 and Xcode16.0, the above result is obtained.

Same exact issue that I had since the first beta of 15.2.

My findings are that default Yolo11 models supplied by Ultralytics themselves are working fine. The issue is only affecting custom trained models as for me.

As of now, with release version of 15.2 being installed, models are still acting erratically:

Here is an image of my model running on my friend's Mac with macOS 14.6:

The yolo11 object detection model I exported to coreml stopped working in macOS15.2 beta.
 
 
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