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Sheil Kumar
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Rust sample uses the NuGet
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README.md

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@@ -68,7 +68,7 @@ A subdomain of computer vision in which an algorithm looks at an image and assig
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| [ResNet50](https://github.com/onnx/models/raw/master/vision/classification/resnet/model/resnet50-caffe2-v1-9.onnx) | | ||[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>|
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| [ShuffleNetV1](https://github.com/onnx/models/raw/master/vision/classification/shufflenet/model/shufflenet-9.onnx) | | ||[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>|
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| [ShuffleNetV2](https://github.com/onnx/models/raw/master/vision/classification/shufflenet/model/shufflenet-v2-10.onnx) | | ||[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>|
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| [SqueezeNet](https://github.com/onnx/models/raw/master/vision/classification/squeezenet/model/squeezenet1.1-7.onnx) | [✔️C#](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/UWP/cs)<br/>[✔️JavaScript](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/UWP/cs)<br/> | |[✔️C++/WinRT](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/Desktop/cpp)<br/> [✔️C# .NET5](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/NET5)<br/>[✔️C# .NET Core 2](https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/NETCore/cs)<br/>[✔️Rust](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/RustSqueezenet)<br/>|[✔️C++/WinRT](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/Desktop/cpp)<br/>[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>|
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| [SqueezeNet](https://github.com/onnx/models/raw/master/vision/classification/squeezenet/model/squeezenet1.1-7.onnx) | [✔️C#](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/UWP/cs)<br/>[✔️JavaScript](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/UWP/cs)<br/> | |[✔️C++/WinRT](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/Desktop/cpp)<br/> [✔️C# .NET5](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/NET5)<br/>[✔️C# .NET Core 2](https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/NETCore/cs)<br/>|[✔️C++/WinRT](https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/SqueezeNetObjectDetection/Desktop/cpp)<br/>[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>[✔️Rust](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/RustSqueezenet)<br/>|
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| [VGG19](https://github.com/onnx/models/raw/master/vision/classification/vgg/model/vgg19-7.onnx) | | ||[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>|
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| [VGG19bn](https://github.com/onnx/models/raw/master/vision/classification/vgg/model/vgg19-bn-7.onnx) | | ||[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>|
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| [ZFNet512](https://github.com/onnx/models/raw/master/vision/classification/zfnet-512/model/zfnet512-9.onnx) | | ||[✔️C# .NET5 - Samples Gallery](https://github.com/microsoft/Windows-Machine-Learning/tree/user/sheilk/readme-updates/Samples/WinMLSamplesGallery)<br/>|

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