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Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into ade-extensibilty-model-restructure-bicep
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‎.openpublishing.publish.config.json

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"branch_mapping": {}
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},
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{
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"path_to_root": "ms-identity-dotnetcore-b2c-account-management",
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"path_to_root": "ms-identity-dotnetcore-b2c-account-management-archive",
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"url": "https://github.com/Azure-Samples/ms-identity-dotnetcore-b2c-account-management",
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"branch": "master",
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"branch": "archive",
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‎.openpublishing.redirection.azure-monitor.json

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"redirect_url": "/azure/azure-monitor/monitor-azure-monitor-reference",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/azure-monitor/ai-ops/responsible-ai-faq.md",
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"redirect_url": "/azure/copilot/overview",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/azure-monitor/ai-ops/investigator-overview.md",
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"redirect_url": "/azure/copilot/overview",
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"redirect_document_id": false
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{
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"source_path_from_root": "/articles/azure-monitor/ai-ops/investigate-alert-instance.md",
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"redirect_url": "/azure/copilot/overview",
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/azure-monitor/insights/resource-group-insights.md",
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"redirect_url": "/azure/azure-resource-manager/management/resource-group-insights",

‎.openpublishing.redirection.operator-5g-core.json

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"redirect_url": "/azure/operator-5g-core/how-to-deploy-observability",
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{
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"source_path_from_root": "/articles/operator-5g-core/quickstart-complete-prerequisites-deploy-azure-kubernetes-service.md",
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"redirect_url": "/azure/operator-5g-core/quickstart-complete-prerequisites-deploy-nexus-azure-kubernetes-service",
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"redirect_document_id": false
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},
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"source_path_from_root": "/articles/operator-5g-core/how-to-complete-prerequisites-deploy-nexus-azure-kubernetes-service.md",
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"redirect_url": "/azure/operator-5g-core/quickstart-complete-prerequisites-deploy-nexus-azure-kubernetes-service",

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

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"redirect_url": "/azure/ai-services/content-moderator/term-lists-quickstart-dotnet",
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"redirect_document_id": false
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{
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"source_path_from_root": "/articles/ai-services/content-safety/concepts/incident-response.md",
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"redirect_url": "/azure/ai-services/content-safety/concepts/custom-categories-rapid",
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"redirect_document_id": true
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{
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"source_path_from_root": "/articles/ai-services/content-safety/how-to/incident-response.md",
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"redirect_url": "/azure/ai-services/content-safety/how-to/custom-categories-rapid",
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"redirect_document_id": true
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}
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‎articles/ai-services/computer-vision/concept-brand-detection.md

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## Use the API
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The brand detection feature is part of the [Analyze Image](/rest/api/computervision/analyze-image?view=rest-computervision-v3.1) API. You can call this API through a native SDK or through REST calls. Include `Brands` in the **visualFeatures** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"brands"` section.
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The brand detection feature is part of the [Analyze Image](/rest/api/computervision/analyze-image?view=rest-computervision-v3.2) API. You can call this API through a native SDK or through REST calls. Include `Brands` in the **visualFeatures** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"brands"` section.
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* [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)

‎articles/ai-services/computer-vision/concept-categorizing-images.md

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## Use the API
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The categorization feature is part of the [Analyze Image 3.2](/rest/api/computervision/analyze-image?view=rest-computervision-v3.1) API. You can call this API through a native SDK or through REST calls. Include `Categories` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"categories"` section.
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The categorization feature is part of the [Analyze Image 3.2](/rest/api/computervision/analyze-image?view=rest-computervision-v3.2) API. You can call this API through a native SDK or through REST calls. Include `Categories` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"categories"` section.
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* [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)
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‎articles/ai-services/computer-vision/concept-describing-images.md

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## Use the API
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The image description feature is part of the [Analyze Image](/rest/api/computervision/analyze-image?view=rest-computervision-v3.1) API. You can call this API through a native SDK or through REST calls. Include `Description` in the **visualFeatures** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"description"` section.
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The image description feature is part of the [Analyze Image](/rest/api/computervision/analyze-image?view=rest-computervision-v3.2) API. You can call this API through a native SDK or through REST calls. Include `Description` in the **visualFeatures** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"description"` section.
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* [Quickstart: Image Analysis REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)
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‎articles/ai-services/computer-vision/concept-detecting-adult-content.md

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## Use the API
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You can detect adult content with the [Analyze Image 3.2](/rest/api/computervision/analyze-image?view=rest-computervision-v3.1) API. When you add the value of `Adult` to the **visualFeatures** query parameter, the API returns three boolean properties—`isAdultContent`, `isRacyContent`, and `isGoryContent`—in its JSON response. The method also returns corresponding properties—`adultScore`, `racyScore`, and `goreScore`—which represent confidence scores between zero and one for each respective category.
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You can detect adult content with the [Analyze Image 3.2](/rest/api/computervision/analyze-image?view=rest-computervision-v3.2) API. When you add the value of `Adult` to the **visualFeatures** query parameter, the API returns three boolean properties—`isAdultContent`, `isRacyContent`, and `isGoryContent`—in its JSON response. The method also returns corresponding properties—`adultScore`, `racyScore`, and `goreScore`—which represent confidence scores between zero and one for each respective category.
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- [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)

‎articles/ai-services/computer-vision/concept-detecting-color-schemes.md

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## Use the API
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The color scheme detection feature is part of the [Analyze Image 3.2](/rest/api/computervision/analyze-image?view=rest-computervision-v3.1) API. You can call this API through a native SDK or through REST calls. Include `Color` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"color"` section.
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The color scheme detection feature is part of the [Analyze Image 3.2](/rest/api/computervision/analyze-image?view=rest-computervision-v3.2) API. You can call this API through a native SDK or through REST calls. Include `Color` in the **visualFeatures** query parameter. Then, when you get the full JSON response, simply parse the string for the contents of the `"color"` section.
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* [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)

‎articles/ai-services/computer-vision/concept-detecting-domain-content.md

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### Scoped analysis
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You can analyze an image using only the chosen domain-specific model by calling the [Models/\<model\>/Analyze](/rest/api/computervision/analyze-image?view=rest-computervision-v3.1) API.
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You can analyze an image using only the chosen domain-specific model by calling the [Models/\<model\>/Analyze](/rest/api/computervision/analyze-image?view=rest-computervision-v3.2) API.
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### Enhanced categorization analysis
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You can also use domain-specific models to supplement general image analysis. You do this as part of [high-level categorization](concept-categorizing-images.md) by specifying domain-specific models in the *details* parameter of the [Analyze Image](/rest/api/computervision/analyze-image?view=rest-computervision-v3.1) API call.
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You can also use domain-specific models to supplement general image analysis. You do this as part of [high-level categorization](concept-categorizing-images.md) by specifying domain-specific models in the *details* parameter of the [Analyze Image](/rest/api/computervision/analyze-image?view=rest-computervision-v3.2) API call.
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In this case, the 86-category taxonomy classifier is called first. If any of the detected categories have a matching domain-specific model, the image is passed through that model as well and the results are added.
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| celebrities | Celebrity recognition, supported for images classified in the `people_` category |
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Calling the [Models](/rest/api/computervision/list-models/list-models?view=rest-computervision-v3.1&tabs=HTTP) API returns this information along with the categories to which each model can apply:
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Calling the [Models](/rest/api/computervision/list-models/list-models?view=rest-computervision-v3.2&tabs=HTTP) API returns this information along with the categories to which each model can apply:
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```json
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This feature is available through the [Analyze Image 3.2 API](/rest/api/computervision/analyze-image/analyze-image?view=rest-computervision-v3.1&tabs=HTTP). You can call this API through a native SDK or through REST calls. Include `Celebrities` or `Landmarks` in the **details** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"details"` section.
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This feature is available through the [Analyze Image 3.2 API](/rest/api/computervision/analyze-image/analyze-image?view=rest-computervision-v3.2&tabs=HTTP). You can call this API through a native SDK or through REST calls. Include `Celebrities` or `Landmarks` in the **details** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"details"` section.
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* [Quickstart: Vision REST API or client libraries](./quickstarts-sdk/image-analysis-client-library.md?pivots=programming-language-csharp)

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