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Implement zone pivots.
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‎articles/cognitive-services/Custom-Vision-Service/includes/quickstarts-sdk/getting-started-build-a-classifier.md renamed to ‎articles/cognitive-services/Custom-Vision-Service/getting-started-build-a-classifier.md

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‎articles/cognitive-services/Custom-Vision-Service/includes/quickstarts-sdk/getting-started-improving-your-classifier.md renamed to ‎articles/cognitive-services/Custom-Vision-Service/getting-started-improving-your-classifier.md

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title: "Quickstart: Create an object detection project with the SDK for C# - Custom Vision"
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titleSuffix: Azure Cognitive Services
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description: Create a project, add tags, upload images, train your project, and detect objects using the .NET SDK with C#.
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services: cognitive-services
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author: PatrickFarley
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# Quickstart: Create an object detection project with the Custom Vision .NET SDK
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This article shows you how to get started using the Custom Vision SDK with C# to build an object detection model. After it's created, you can add tagged regions, upload images, train the project, obtain the project's default prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own .NET application.
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## Prerequisites

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

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title: "Quickstart: Create an image classification project with the Custom Vision SDK for C#"
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titleSuffix: Azure Cognitive Services
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description: Create a project, add tags, upload images, train your project, and make a prediction using the .NET SDK with C#.
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services: cognitive-services
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author: PatrickFarley
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# Quickstart: Create an image classification project with the Custom Vision .NET SDK
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This article provides information and sample code to help you get started using the Custom Vision SDK with C# to build an image classification model. After it's created, you can add tags, upload images, train the project, obtain the project's default prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own .NET application. If you want to go through the process of building and using a classification model _without_ code, see the [browser-based guidance](getting-started-build-a-classifier.md) instead.
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## Prerequisites

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

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title: "Quickstart: Create an object detection project with the SDK for Go - Custom Vision"
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titleSuffix: Azure Cognitive Services
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description: Create a project, add tags, upload images, train your project, and detect objects using the Go SDK.
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services: cognitive-services
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author: areddish
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# Quickstart: Create an object detection project with the Custom Vision Go SDK
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This article provides information and sample code to help you get started using the Custom Vision SDK with Go to build an object detection model. After it's created, you can add tagged regions, upload images, train the project, obtain the project's published prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own Go application.
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## Prerequisites

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

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title: "Quickstart: Create an image classification project with the Custom Vision SDK for Go"
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description: Create a project, add tags, upload images, train your project, and make a prediction using the Go SDK.
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services: cognitive-services
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# Quickstart: Create an image classification project with the Custom Vision Go SDK
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This article provides information and sample code to help you get started using the Custom Vision SDK with Go to build an image classification model. After it's created, you can add tags, upload images, train the project, obtain the project's published prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own Go application. If you wish to go through the process of building and using a classification model _without_ code, see the [browser-based guidance](getting-started-build-a-classifier.md) instead.
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## Prerequisites

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

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title: "Quickstart: Create an object detection project with the Custom Vision SDK for Java"
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description: Create a project, add tags, upload images, train your project, and detect objects using the Java SDK.
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# Quickstart: Create an object detection project with the Custom Vision SDK for Java
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This article shows you how to get started using the Custom Vision SDK with Java to build an object detection model. After it's created, you can add tagged regions, upload images, train the project, obtain the project's default prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own Java application.
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## Prerequisites

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title: "Quickstart: Create an image classification project with the Custom Vision SDK for Java"
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description: Create a project, add tags, upload images, train your project, and make a prediction using the Java SDK.
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services: cognitive-services
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author: areddish
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ms.service: cognitive-services
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# Quickstart: Create an image classification project with the Custom Vision SDK for Java
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This article shows you how to get started using the Custom Vision Java SDK to build an image classification model. After it's created, you can add tags, upload images, train the project, obtain the project's default prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own Java application. If you wish to go through the process of building and using a classification model _without_ code, see the [browser-based guidance](getting-started-build-a-classifier.md) instead.
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## Prerequisites

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

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title: "Quickstart: Create an object detection project with the Custom Vision SDK for Node.js"
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titleSuffix: Azure Cognitive Services
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description: Create a project, add tags, upload images, train your project, and detect objects using the Node.js SDK.
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services: cognitive-services
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author: areddish
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ms.service: cognitive-services
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# Quickstart: Create an object detection project with the Custom Vision Node.js SDK
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This article shows you how to get started using the Custom Vision SDK with Node.js to build an object detection model. After it's created, you can add tagged regions, upload images, train the project, obtain the project's published prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own Node.js application.
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## Prerequisites

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

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title: "Quickstart: Create an image classification project with the Custom Vision SDK for Node.js"
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titleSuffix: Azure Cognitive Services
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description: Create a project, add tags, upload images, train your project, and make a prediction using the Node.js SDK.
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services: cognitive-services
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author: areddish
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manager: daauld
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ms.author: areddish
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ms.service: cognitive-services
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ms.subservice: custom-vision
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ms.topic: quickstart
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ms.date: 04/14/2020
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ms.author: areddish
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---
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# Quickstart: Create an image classification project with the Custom Vision Node.js SDK
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This article shows you how to get started using the Custom Vision SDK with Node.js to build an image classification model. After it's created, you can add tags, upload images, train the project, obtain the project's published prediction endpoint URL, and use the endpoint to programmatically test an image. Use this example as a template for building your own Node.js application. If you wish to go through the process of building and using a classification model _without_ code, see the [browser-based guidance](getting-started-build-a-classifier.md) instead.
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## Prerequisites

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