YOLOv11 CoreML
YOLOv11 models converted to CoreML format.
Using:
- pytorch 2.5.0
- coremltools 8.0
- ultralytics 8.3.16
- macOS Sequoia 15.1
Tested on:
- M1
- M1 Ultra
- M4 (iPad Pro 2024)
- A15 (iPhone 14)
Models can be run using Apple Neural Engine
Model sources: https://github.com/ultralytics/ultralytics
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from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("TheCluster/YOLOv11-CoreML", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True)