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NMS-free object detection. 640×640 input, 80 COCO classes.
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Core ML conversion of [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) for on-device inference on iPhone, iPad and Mac. Converted with `coremltools`; the packages are stateless, so all sequencing and buffering lives in your Swift code.
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NMS-free object detection. 640×640 input, 80 COCO classes.
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<p><img src="https://huggingface.co/mlboydaisuke/YOLO26s-CoreML/resolve/main/media/bc27d62111.png" alt="YOLO26s demo"></p>
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Core ML conversion of [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) for on-device inference on iPhone, iPad and Mac. Converted with `coremltools`; the packages are stateless, so all sequencing and buffering lives in your Swift code.
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