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pcuenq
HF staff
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README.md
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@@ -14,12 +14,21 @@ Welcome to the official Hugging Face organisation for Apple!
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Build intelligence into your apps using machine learning models from the research community designed for Core ML.
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### Image Classification
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- [FastViT](https://huggingface.co/collections/coreml-projects/coreml-fastvit-666b0053e54816747071d755), a small and very fast model family for image classification.
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### Image Segmentation
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- [DETR](https://huggingface.co/coreml-projects/coreml-detr-semantic-segmentation). DEtection TRansformer (DETR) allows semantic segmentation on iOS devices, where each pixel in an image is classified according to the most probable category it belongs to.
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### Depth Estimation
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- [Depth Anything](https://huggingface.co/coreml-projects/coreml-depth-anything-small) is a state of the art model for monocular depth estimation.
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### Text-to-Image Generation
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Build intelligence into your apps using machine learning models from the research community designed for Core ML.
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### Image Classification
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![Image Classification Example](https://huggingface.co/datasets/coreml-projects/documentation-assets/resolve/main/FastViT_2x.png?download=true)
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- [FastViT](https://huggingface.co/collections/coreml-projects/coreml-fastvit-666b0053e54816747071d755), a small and very fast model family for image classification.
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### Image Segmentation
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![Image Segmentation Example](https://huggingface.co/datasets/coreml-projects/documentation-assets/resolve/main/DETRSegmentation_2x.png?download=true)
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- [DETR](https://huggingface.co/coreml-projects/coreml-detr-semantic-segmentation). DEtection TRansformer (DETR) allows semantic segmentation on iOS devices, where each pixel in an image is classified according to the most probable category it belongs to.
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### Depth Estimation
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![Depth Estimation Example](https://huggingface.co/datasets/coreml-projects/documentation-assets/resolve/main/DepthAnything_2x.png?download=true)
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- [Depth Anything](https://huggingface.co/coreml-projects/coreml-depth-anything-small) is a state of the art model for monocular depth estimation.
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### Text-to-Image Generation
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