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  Lightweight Segment Anything. Tap any point to generate a segmentation mask. ViT-Tiny encoder + lightweight decoder. ~60× smaller than SAM.
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  Core ML conversion of [ChaoningZhang/MobileSAM](https://github.com/ChaoningZhang/MobileSAM) 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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  Lightweight Segment Anything. Tap any point to generate a segmentation mask. ViT-Tiny encoder + lightweight decoder. ~60× smaller than SAM.
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+ <p><img src="https://huggingface.co/mlboydaisuke/MobileSAM-CoreML/resolve/main/media/2ae4448e16.gif" alt="MobileSAM demo"></p>
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  Core ML conversion of [ChaoningZhang/MobileSAM](https://github.com/ChaoningZhang/MobileSAM) 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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