@@ -54,24 +54,24 @@ A subdomain of computer vision in which an algorithm looks at an image and assig
5454
5555| Windows App Type <br />Distribution | UWP<br />In-Box | UWP<br />NuGet | Desktop<br />In-Box | Desktop<br />NuGet |
5656| ------------| ------------------------------------| --------------------------------------| ------------------------------------| --------------------------------------|
57- | [ AlexNet] ( https://github.com/onnx/models/raw /master/vision/classification/alexnet/model/bvlcalexnet-9.onnx ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
58- | [ CaffeNet] ( https://github.com/onnx/models/raw /master/vision/classification/caffenet/model/caffenet-9.onnx ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
59- | [ DenseNet] ( https://github.com/onnx/models/raw /master/vision/classification/densenet-121/model/densenet-9.onnx ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
60- | [ EfficientNet] ( https://github.com/onnx/models/raw /master/vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.onnx ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
57+ | [ AlexNet] ( https://github.com/onnx/models/tree /master/vision/classification/alexnet ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
58+ | [ CaffeNet] ( https://github.com/onnx/models/tree /master/vision/classification/caffenet ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
59+ | [ DenseNet] ( https://github.com/onnx/models/tree /master/vision/classification/densenet-121 ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
60+ | [ EfficientNet] ( https://github.com/onnx/models/tree /master/vision/classification/efficientnet-lite4 ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
6161| Emoji8 | [ ✔️C#] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/Emoji8/UWP/cs ) | |
62- | [ GoogleNet] ( https://github.com/onnx/models/raw /master/vision/classification/inception_and_googlenet/googlenet/model/googlenet-9.onnx ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
63- | [ InceptionV1] ( https://github.com/onnx/models/raw /master/vision/classification/inception_and_googlenet/inception_v1/model/inception-v1-9. ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
64- | [ InceptionV2] ( https://github.com/onnx/models/raw /master/vision/classification/inception_and_googlenet/inception_v2/model/inception-v2-9. ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
62+ | [ GoogleNet] ( https://github.com/onnx/models/tree /master/vision/classification/inception_and_googlenet/googlenet ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
63+ | [ InceptionV1] ( https://github.com/onnx/models/tree /master/vision/classification/inception_and_googlenet/inception_v1 ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
64+ | [ InceptionV2] ( https://github.com/onnx/models/tree /master/vision/classification/inception_and_googlenet/inception_v2 ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
6565| [ MNIST] ( https://github.com/onnx/models/tree/master/vision/classification/mnist ) | [ ✔️C++/CX] ( https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/MNIST/UWP ) <br />[ ✔️C#] ( https://github.com/Microsoft/Windows-Machine-Learning/tree/master/Samples/MNIST/Tutorial/cs ) <br /> | |
66- | [ MobileNetV2] ( https://github.com/onnx/models/raw /master/vision/classification/mobilenet/model/mobilenetv2-7.onnx ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
67- | [ RCNN] ( https://github.com/onnx/models/raw /master/vision/classification/rcnn_ilsvrc13/model/rcnn-ilsvrc13-9.onnx ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
68- | [ 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/master/Samples/WinMLSamplesGallery ) <br />|
69- | [ 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/master/Samples/WinMLSamplesGallery ) <br />|
70- | [ 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/master/Samples/WinMLSamplesGallery ) <br />|
71- | [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/master/Samples/WinMLSamplesGallery)<br/>[✔️Rust](https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/RustSqueezenet)<br/>|
72- | [ 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/master/Samples/WinMLSamplesGallery ) <br />|
73- | [ 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/master/Samples/WinMLSamplesGallery ) <br />|
74- | [ 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/master/Samples/WinMLSamplesGallery ) <br />|
66+ | [ MobileNetV2] ( https://github.com/onnx/models/tree /master/vision/classification/mobilenet ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
67+ | [ RCNN] ( https://github.com/onnx/models/tree /master/vision/classification/rcnn_ilsvrc13 ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
68+ | [ ResNet50] ( https://github.com/onnx/models/tree /master/vision/classification/resnet ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
69+ | [ ShuffleNetV1] ( https://github.com/onnx/models/tree /master/vision/classification/shufflenet ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
70+ | [ ShuffleNetV2] ( https://github.com/onnx/models/tree /master/vision/classification/shufflenet ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
71+ | [SqueezeNet](https://github.com/onnx/models/tree/master/vision/classification/squeezenet) | [✔️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/master/Samples/WinMLSamplesGallery)<br/>[✔️Rust](https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/RustSqueezenet)<br/>|
72+ | [ VGG19] ( https://github.com/onnx/models/tree /master/vision/classification/vgg ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
73+ | [ VGG19bn] ( https://github.com/onnx/models/tree /master/vision/classification/vgg ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
74+ | [ ZFNet512] ( https://github.com/onnx/models/tree /master/vision/classification/zfnet-512 ) | | || [ ✔️C# .NET5 - Samples Gallery] ( https://github.com/microsoft/Windows-Machine-Learning/tree/master/Samples/WinMLSamplesGallery ) <br />|
7575
7676** Style Transfer**
7777
@@ -113,6 +113,7 @@ These advanced samples show how to use various binding and evaluation features i
113113 - https://onnxruntime.ai/docs/tutorials/mobile/model-conversion.html
114114 - https://docs.microsoft.com/en-us/windows/ai/windows-ml/tutorials/pytorch-convert-model
115115 - [ WinMLTools] ( https://pypi.org/project/winmltools/ ) : a Python tool for converting models from different machine learning toolkits into ONNX for use with Windows ML.
116+
116117- ** Model Optimization**
117118
118119 Models may need further optimizations applied post conversion to support advanced features like batching and quantization. Check out the following tools for optimizig your model:
0 commit comments