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Merge pull request #233114 from jboback/CustomVisionMetadata
Custom Vision Metadata
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articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/csharp-tutorial-od.md

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Get started with the Custom Vision client library for .NET. Follow these steps to install the package and try out the example code for building an object detection model. You'll create a project, add tags, train the project on sample images, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/csharp-tutorial.md

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Get started with the Custom Vision client library for .NET. Follow these steps to install the package and try out the example code for building an image classification model. You'll create a project, add tags, train the project, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/go-tutorial-object-detection.md

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This guide provides instructions and sample code to help you get started using the Custom Vision client library for Go to build an object detection model. You'll create a project, add tags, train the project, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/go-tutorial.md

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This guide provides instructions and sample code to help you get started using the Custom Vision client library for Go to build an image classification model. You'll create a project, add tags, train the project, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/java-tutorial-od.md

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Get started using the Custom Vision client library for Java to build an object detection model. Follow these steps to install the package and try out the example code for basic tasks. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/java-tutorial.md

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Get started using the Custom Vision client library for Java to build an image classification model. Follow these steps to install the package and try out the example code for basic tasks. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/node-tutorial-object-detection.md

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This guide provides instructions and sample code to help you get started using the Custom Vision client library for Node.js to build an object detection model. You'll create a project, add tags, train the project, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/node-tutorial.md

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This guide provides instructions and sample code to help you get started using the Custom Vision client library for Node.js to build an image classification model. You'll create a project, add tags, train the project, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/python-tutorial-od.md

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Get started with the Custom Vision client library for Python. Follow these steps to install the package and try out the example code for building an object detection model. You'll create a project, add tags, train the project, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

articles/cognitive-services/Custom-Vision-Service/includes/quickstarts/python-tutorial.md

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Get started with the Custom Vision client library for Python. Follow these steps to install the package and try out the example code for building an image classification model. You'll create a project, add tags, train the project, and use the project's prediction endpoint URL to programmatically test it. Use this example as a template for building your own image recognition app.

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