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.openpublishing.redirection.json

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{
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"source_path": "articles/network-watcher/network-watcher-security-group-view-powershell.md",
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"source_path": "articles/storage/blobs/blob-v11-samples-dotnet.md",
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"redirect_url": "/previous-versions/azure/storage/blobs/blob-v11-samples-dotnet",
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"source_path_from_root":"/articles/aks/generation-2-vm-windows.md",
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"redirect_url":"/azure/aks/generation-2-vm",
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articles/active-directory-b2c/TOC.yml

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href: partner-nevis.md
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- name: Nok Nok
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href: partner-nok-nok.md
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- name: Transmit Security
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- name: Transmit Security for passwordless
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href: partner-bindid.md
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- name: Transmit Security for risk detection
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href: partner-transmit-security.md
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- name: Trusona
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- name: Twilio

articles/active-directory-b2c/custom-policies-series-sign-up-or-sign-in-federation.md

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Just like in sign-in with a local account, you need to configure the [Microsoft Entra Technical Profiles](active-directory-technical-profile.md), which you use to connect to Microsoft Entra ID storage, to store or read a user social account.
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1. In the `ContosoCustomPolicy.XML` file, locate the `AAD-UserRead` technical profile and then add a new technical profile by using the following code:
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1. In the `ContosoCustomPolicy.XML` file, locate the `AAD-UserRead` technical profile and then add a new technical profile below it by using the following code:
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```xml
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<TechnicalProfile Id="AAD-UserWriteUsingAlternativeSecurityId">
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```xml
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<OutputClaim ClaimTypeReferenceId="authenticationSource" DefaultValue="localIdpAuthentication" AlwaysUseDefaultValue="true" />
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```
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Make sure you also add the `authenticationSource` claim in the output claims collection of the `UserSignInCollector` self-asserted technical profile.
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1. In the `UserJourneys` section, add a new user journey, `LocalAndSocialSignInAndSignUp` by using the following code:
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articles/active-directory-b2c/partner-transmit-security.md

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articles/ai-services/.openpublishing.redirection.applied-ai-services.json

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articles/ai-services/computer-vision/computer-vision-how-to-install-containers.md

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* Review [Configure containers](computer-vision-resource-container-config.md) for configuration settings
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* Review the [OCR overview](overview-ocr.md) to learn more about recognizing printed and handwritten text
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* Refer to the [Read API](https://westus.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-2/operations/5d986960601faab4bf452005) for details about the methods supported by the container.
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* Refer to the [Read API](/rest/api/computervision/operation-groups?view=rest-computervision-v3.2-preview) for details about the methods supported by the container.
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* Refer to [Frequently asked questions (FAQ)](FAQ.yml) to resolve issues related to Azure AI Vision functionality.
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* Use more [Azure AI containers](../cognitive-services-container-support.md)

articles/ai-services/computer-vision/concept-background-removal.md

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## Use the API
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The background removal feature is available through the [Segment](https://centraluseuap.dev.cognitive.microsoft.com/docs/services/unified-vision-apis-public-preview-2023-02-01-preview/operations/63e6b6d9217d201194bbecbd) API (`imageanalysis:segment`). See the [Background removal how-to guide](./how-to/background-removal.md) for more information.
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The background removal feature is available through the [Segment](/rest/api/computervision/image-analysis/segment?view=rest-computervision-2023-02-01-preview&tabs=HTTP) API (`imageanalysis:segment`). See the [Background removal how-to guide](./how-to/background-removal.md) for more information.
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## Next steps
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articles/ai-services/computer-vision/concept-shelf-analysis.md

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Get started with Product Recognition by trying out the stitching and rectification APIs. Then do basic analysis with the Product Understanding API.
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* [Prepare images for Product Recognition](./how-to/shelf-modify-images.md)
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* [Analyze a shelf image](./how-to/shelf-analyze.md)
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* [API reference](https://eastus.dev.cognitive.microsoft.com/docs/services/unified-vision-apis-public-preview-2023-04-01-preview/operations/644aba14fb42681ae06f1b0b)
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* [API reference](/rest/api/computervision/operation-groups?view=rest-computervision-2023-04-01-preview)

articles/ai-services/computer-vision/how-to/shelf-analyze.md

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> [Train a custom model for Product Recognition](../how-to/shelf-model-customization.md)
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* [Image Analysis overview](../overview-image-analysis.md)
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* [API reference](https://eastus.dev.cognitive.microsoft.com/docs/services/unified-vision-apis-public-preview-2023-04-01-preview/operations/644aba14fb42681ae06f1b0b)
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* [API reference](/rest/api/computervision/operation-groups?view=rest-computervision-2023-04-01-preview)

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