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articles/cognitive-services/Custom-Vision-Service/home.md

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## Next steps
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Follow the [Build a classifier](getting-started-build-a-classifier.md) guide to get started using Custom Vision on the web, or complete an [Image classification tutorial](csharp-tutorial.md) to implement a basic scenario in code.
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Follow the [Build a classifier](getting-started-build-a-classifier.md) guide to get started using Custom Vision on the web, or complete an [Image classification tutorial](quickstarts/image-classification.md) to implement a basic scenario in code.

articles/cognitive-services/Custom-Vision-Service/includes/clean-ic-project.md

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## Clean up resources
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If you wish to implement your own image classification project (or try an [object detection](../csharp-tutorial-od.md) project instead), you may want to delete the tree identification project from this example. A free trial allows for two Custom Vision projects.
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If you wish to implement your own image classification project (or try an [object detection](../quickstarts/object-detection.md) project instead), you may want to delete the tree identification project from this example. A free trial allows for two Custom Vision projects.
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On the [Custom Vision website](https://customvision.ai), navigate to **Projects** and select the trash can under My New Project.
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articles/cognitive-services/Custom-Vision-Service/includes/clean-od-project.md

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## Clean up resources
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If you wish to implement your own object detection project (or try an [image classification](../csharp-tutorial.md) project instead), you may want to delete the fork/scissors detection project from this example. A free trial allows for two Custom Vision projects.
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If you wish to implement your own object detection project (or try an [image classification](../quickstarts/image-classification.md) project instead), you may want to delete the fork/scissors detection project from this example. A free trial allows for two Custom Vision projects.
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On the [Custom Vision website](https://customvision.ai), navigate to **Projects** and select the trash can under My New Project.
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articles/cognitive-services/Custom-Vision-Service/index.yml

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links:
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- text: Using the web portal
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url: getting-started-build-a-classifier.md
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- text: Using the .NET SDK
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url: csharp-tutorial.md
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- text: Using the Python SDK
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url: python-tutorial.md
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- text: Using the Java SDK
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url: java-tutorial.md
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- text: Using the Node.js SDK
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url: node-tutorial.md
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- text: Using the Go SDK
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url: go-tutorial.md
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- text: Using the Custom Vision SDK
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url: quickstarts/image-classification.md
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- linkListType: how-to-guide
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links:
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- text: Use the prediction API
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links:
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- text: Using the web portal
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url: get-started-build-detector.md
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- text: Using the .NET SDK
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url: csharp-tutorial-od.md
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- text: Using the Python SDK
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url: python-tutorial-od.md
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- text: Using the Java SDK
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url: java-tutorial-od.md
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- text: Using the Node.js SDK
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url: node-tutorial-object-detection.md
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- text: Using the Go SDK
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url: go-tutorial-object-detection.md
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- text: Using the Custom Vision SDK
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url: quickstarts/object-detection.md
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- linkListType: tutorial
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- text: Logo detector for mobile

articles/cognitive-services/Custom-Vision-Service/select-domain.md

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>__General (compact)__ domain for Object Detection requires special postprocessing logic. For the detail, please see an example script in the exported zip package. If you need a model without the postprocessing logic, use __General (compact) [S1]__.
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>[!IMPORTANT]
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>There is no guarantee that the exported models give the exactly same result as the prediction API on the cloud. Slight difference in the running platform or the preprocessing implementation can cause larger difference in the model outputs. For the detail of the preprocessing logic, please see [this document](python-tutorial.md).
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>There is no guarantee that the exported models give the exactly same result as the prediction API on the cloud. Slight difference in the running platform or the preprocessing implementation can cause larger difference in the model outputs. For the detail of the preprocessing logic, please see [this document](quickstarts/image-classification.md).
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\[1\] Intel Xeon E5-2690 CPU and NVIDIA Tesla M60

articles/cognitive-services/Custom-Vision-Service/toc.yml

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- name: Using the web portal
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href: get-started-build-detector.md
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- name: Using the Custom Vision SDK
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href: object-detection.md
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href: quickstarts/object-detection.md
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- name: Tutorials
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items:
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- name: Report visual states on IoT device

articles/cognitive-services/Custom-Vision-Service/use-prediction-api.md

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In this guide, you learned how to submit images to your custom image classifier/detector and receive a response programmatically with the C# SDK. Next, learn how to complete end-to-end scenarios with C#, or get started using a different language SDK.
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* [Quickstart: .NET SDK](csharp-tutorial.md)
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* [Quickstart: Python SDK](python-tutorial.md)
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* [Quickstart: Java SDK](java-tutorial.md)
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* [Quickstart: Node SDK](node-tutorial.md)
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* [Quickstart: Go SDK](go-tutorial.md)
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* [Quickstart: Custom Vision SDK](quickstarts/image-classification.md)

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