Merge branch 'main' of github.com:MicrosoftDocs/azure-ai-docs-pr into synch

Author: Blackmist

articles/ai-foundry/how-to/autoscale.md

@@ -8,7 +8,7 @@ ms.custom:
   - ignite-2023
   - build-2024
 ms.topic: how-to
-ms.date: 12/09/2024
+ms.date: 03/27/2025
 ms.reviewer: siarora
 ms.author: larryfr
 author: Blackmist

articles/ai-foundry/how-to/disaster-recovery.md

@@ -10,7 +10,7 @@ ms.topic: how-to
 ms.author: larryfr
 author: Blackmist
 ms.reviewer: andyaviles
-ms.date: 12/05/2024
+ms.date: 03/26/2025
 ---
 
 # Customer enabled disaster recovery

articles/ai-foundry/model-inference/concepts/models.md

@@ -178,11 +178,11 @@ See [this model collection in Azure AI Foundry portal](https://ai.azure.com/expl
 
 ### NTT Data
 
-**Tsuzumi** is an autoregressive language optimized transformer. The tuned versions use supervised fine-tuning (SFT). Tsuzumi is handles both Japanese and English language with high efficiency.
+**tsuzumi** is an autoregressive language optimized transformer. The tuned versions use supervised fine-tuning (SFT). tsuzumi handles both Japanese and English language with high efficiency.
 
 | Model  | Type | Tier | Capabilities |
 | ------ | ---- | --- | ------------ |
-| [Tsuzumi-7b](https://ai.azure.com/explore/models/Tsuzumi-7b/version/1/registry/azureml-nttdata) | chat-completion | Global standard | - **Input:** text (8,192 tokens) <br /> - **Output:** text (8,192 tokens) <br /> - **Languages:** `en` and `jp` <br />  - **Tool calling:** No <br /> - **Response formats:** Text |
+| [tsuzumi-7b](https://ai.azure.com/explore/models/Tsuzumi-7b/version/1/registry/azureml-nttdata) | chat-completion | Global standard | - **Input:** text (8,192 tokens) <br /> - **Output:** text (8,192 tokens) <br /> - **Languages:** `en` and `jp` <br />  - **Tool calling:** No <br /> - **Response formats:** Text |
 
 
 ## Next steps

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

@@ -360,6 +360,11 @@
       "redirect_url": "/azure/ai-services/computer-vision/",
       "redirect_document_id": false
     },
+    {
+     "source_path_from_root": "/articles/ai-services/computer-vision/spatial-analysis-logging.md",
+      "redirect_url": "/azure/ai-services/computer-vision/spatial-analysis-container",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/ai-services/document-intelligence/concept-document-intelligence-studio.md",
       "redirect_url": "/azure/ai-services/document-intelligence/studio-overview",

articles/ai-services/cognitive-services-limited-access.md

@@ -6,7 +6,7 @@ author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-services
 ms.topic: conceptual
-ms.date: 09/18/2024
+ms.date: 03/26/2025
 ms.author: pafarley
 ---
 
@@ -27,7 +27,7 @@ The following services are Limited Access:
 - [Custom Neural Voice](/legal/cognitive-services/speech-service/text-to-speech/limited-access?context=/azure/ai-services/speech-service/context/context): Pro features
 - [Custom text to speech avatar](/legal/cognitive-services/speech-service/text-to-speech/limited-access?context=/azure/ai-services/speech-service/context/context): All features
 - [Speaker Recognition](/legal/cognitive-services/speech-service/speaker-recognition/limited-access-speaker-recognition?context=/azure/ai-services/speech-service/context/context): All features 
-- [Face API](/legal/cognitive-services/computer-vision/limited-access-identity?context=/azure/ai-services/computer-vision/context/context): Identify and Verify features, face ID property
+- [Azure AI Face](/legal/cognitive-services/computer-vision/limited-access-identity?context=/azure/ai-services/computer-vision/context/context): Identify and Verify features, face ID property
 - [Azure AI Vision](/legal/cognitive-services/computer-vision/limited-access?context=/azure/ai-services/computer-vision/context/context): Celebrity Recognition feature
 - [Azure AI Video Indexer](/azure/azure-video-indexer/limited-access-features): Celebrity Recognition and Face Identify features
 - [Azure OpenAI](/legal/cognitive-services/openai/limited-access): Azure OpenAI Service, modified abuse monitoring, and modified content filters
@@ -43,7 +43,7 @@ Submit a registration form for each Limited Access service you would like to use
 - [Custom Neural Voice](https://aka.ms/customneural): Pro features 
 - [Custom text to speech avatar](https://aka.ms/customneural): All features 
 - [Speaker Recognition](https://aka.ms/azure-speaker-recognition): All features 
-- [Face API](https://aka.ms/facerecognition): Identify and Verify features
+- [Azure AI Face](https://aka.ms/facerecognition): Identify and Verify features
 - [Azure AI Vision](https://aka.ms/facerecognition): Celebrity Recognition feature 
 - [Azure AI Video Indexer](https://aka.ms/facerecognition): Celebrity Recognition and Face Identify features 
 - [Azure OpenAI](/legal/cognitive-services/openai/limited-access): Azure OpenAI Service, modified abuse monitoring, and modified content filters 

articles/ai-services/computer-vision/concept-face-detection.md

@@ -10,7 +10,7 @@ ms.subservice: azure-ai-face
 ms.custom:
   - ignite-2023
 ms.topic: conceptual
-ms.date: 09/18/2024
+ms.date: 03/26/2025
 ms.author: pafarley
 feedback_help_link_url: https://learn.microsoft.com/answers/tags/156/azure-face
 ---
@@ -20,11 +20,11 @@ feedback_help_link_url: https://learn.microsoft.com/answers/tags/156/azure-face
 [!INCLUDE [Gate notice](./includes/identity-gate-notice.md)]
 
 > [!IMPORTANT]
-> Face attributes are predicted through the use of statistical algorithms. They might not always be accurate. Use caution when you make decisions based on attribute data. Please refrain from using these attributes for anti-spoofing. Instead, we recommend using Face Liveness detection. For more information, please refer to [Tutorial: Detect liveness in faces](/azure/ai-services/computer-vision/tutorials/liveness). 
+> Face attributes are predicted by statistical algorithms. They might not always be accurate. Use caution when you make decisions based on attribute data. Refrain from using these attributes for anti-spoofing. Instead, we recommend using Face Liveness detection. For more information, please refer to [Tutorial: Detect liveness in faces](/azure/ai-services/computer-vision/tutorials/liveness). 
 
 This article explains the concepts of face detection and face attribute data. Face detection is the process of locating human faces in an image and optionally returning different kinds of face-related data.
 
-You use the [Detect] API to detect faces in an image. To get started using the REST API or a client SDK, follow a [Face service quickstart](./quickstarts-sdk/identity-client-library.md). Or, for a more in-depth guide, see [Call the detect API](./how-to/identity-detect-faces.md).
+You use the [Detect] API to detect faces in an image. To get started using the REST API or a client SDK, follow a [Face service quickstart](./quickstarts-sdk/identity-client-library.md). Or, for a more in-depth guide, see [Call the Detect API](./how-to/identity-detect-faces.md).
 
 ## Face rectangle
 

articles/ai-services/computer-vision/concept-object-detection.md

@@ -7,15 +7,17 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: conceptual
-ms.date: 09/19/2024
+ms.date: 03/26/2025
 ms.author: pafarley
 ---
 
 # Object detection
 
-This article explains the concept of object detection. Object detection is similar to [tagging](concept-tag-images-40.md), but the API returns the bounding box coordinates (in pixels) for each object found in the image. For example, if an image contains a dog, cat, and person, the object detection operation lists those objects with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same object in an image.
+This article explains the object detection feature. Object detection is similar to [tagging](concept-tag-images-40.md), but the API returns the bounding box coordinates (in pixels) for each object found in the image. For example, if an image contains a dog, cat, and person, the object detection operation lists those objects with their coordinates in the image. 
 
-The object detection function applies tags based on the objects or living things identified in the image. There's no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the object detection function only finds objects and living things, while the tag function can also include contextual terms like *indoor*, which can't be localized with bounding boxes.
+You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same object in an image.
+
+There's no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the object detection function only finds objects and living things, while the tag function can also include contextual terms like *indoor*, which can't be localized with bounding boxes.
 
 Try out the capabilities of object detection quickly and easily in your browser by using Azure AI Vision Studio.
 

articles/ai-services/computer-vision/identity-api-reference.md

@@ -2,14 +2,14 @@
 title: API Reference - Face
 titleSuffix: Azure AI services
 description: API reference provides information about the Person, LargePersonGroup/PersonGroup, LargeFaceList/FaceList, and Face Algorithms APIs.
-author: nitinme
+author: PatrickFarley
 manager: nitinme
 
 ms.service: azure-ai-vision
 ms.subservice: azure-ai-face
 ms.topic: conceptual
-ms.date: 02/17/2021
-ms.author: nitinme
+ms.date: 03/26/2025
+ms.author: pafarley
 feedback_help_link_url: https://learn.microsoft.com/answers/tags/156/azure-face
 ---
 

articles/ai-services/computer-vision/index.yml

@@ -136,9 +136,6 @@ conceptualContent:
         - itemType: concept
           text: Camera placement
           url: spatial-analysis-camera-placement.md
-        - itemType: concept
-          text: Logging and troubleshooting
-          url: spatial-analysis-logging.md
       footerLink:
         text: More
         url: intro-to-spatial-analysis-public-preview.md

articles/ai-services/computer-vision/spatial-analysis-camera-placement.md

@@ -156,5 +156,4 @@ Organic queues are lines that form organically. This style of queue is acceptabl
 
 <!--* [Deploy a People Counting web application](spatial-analysis-web-app.md)-->
 * [Configure Spatial Analysis operations](./spatial-analysis-operations.md)
-* [Logging and troubleshooting](spatial-analysis-logging.md)
 * [Zone and line placement guide](spatial-analysis-zone-line-placement.md)