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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