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Merge pull request #4060 from PatrickFarley/comvis-updates
further feature retirement changes
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articles/ai-services/computer-vision/how-to/model-customization.md

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This guide shows you how to create and train a custom image classification model. The few differences between training an image classification model and object detection model are noted.
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> [!NOTE]
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> Model customization is available through the REST API and Vision Studio, but not through the client language SDKs.
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## Prerequisites
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* An Azure subscription. You can [create one for free](https://azure.microsoft.com/free/cognitive-services).

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

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> [!NOTE]
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> The brands shown in the images are not affiliated with Microsoft and do not indicate any form of endorsement of Microsoft or Microsoft products by the brand owners, or an endorsement of the brand owners or their products by Microsoft.
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## Use the model customization feature
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<!--## Use the model customization feature
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The [Model customization how-to guide](./model-customization.md) shows you how to train and publish a custom Image Analysis model. You can follow that guide, with a few specifications, to make a model for Product Recognition.
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> [!div class="nextstepaction"]
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> [Model customization](model-customization.md)
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## Dataset specifications
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articles/ai-services/computer-vision/includes/image-analysis-versions.md

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>
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> | Version | Features available | Recommendation&nbsp;|
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> |:----------|--------------|-------------------------|
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> | version&nbsp;4.0 | Read text, Captions, Dense captions, Tags, Object detection, Custom image classification / object detection, People, Smart crop | Better models; use version 4.0 if it supports your use case. |
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> | version&nbsp;4.0 | Read text, Captions, Dense captions, Tags, Object detection, People, Smart crop | Better models; use version 4.0 if it supports your use case. |
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> | version&nbsp;3.2 | Tags, Objects, Descriptions, Brands, Faces, Image type, Color scheme, Landmarks, Celebrities, Adult content, Smart crop | Wider range of features; use version 3.2 if your use case is not yet supported in version 4.0 |
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>
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> We recommend you use the Image Analysis 4.0 API if it supports your use case. Use version 3.2 if your use case is not yet supported by 4.0.

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

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- itemType: concept
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text: Optical Character Recognition
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url: concept-ocr.md
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- itemType: concept
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text: Model customization
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url: concept-model-customization.md
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- itemType: concept
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text: Background removal
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url: concept-background-removal.md
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#- itemType: tutorial
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# text: Generate metadata for images
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# url: Tutorials/storage-lab-tutorial.md

articles/ai-services/computer-vision/overview-image-analysis.md

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[!INCLUDE [segmentation-deprecation](includes/segmentation-deprecation.md)]
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<!--
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Image Analysis 4.0 (preview) offers the ability to remove the background of an image. This feature can either output an image of the detected foreground object with a transparent background, or a grayscale alpha matte image showing the opacity of the detected foreground object.
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[Background removal](./concept-background-removal.md)
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|Original image |With background removed |Alpha matte |
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|:---------:|:---------:|:---------:|
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| :::image type="content" source="media/background-removal/person-5.png" alt-text="Photo of a group of people using a tablet."::: | :::image type="content" source="media/background-removal/person-5-result.png" alt-text="Photo of a group of people using a tablet; background is transparent."::: | :::image type="content" source="media/background-removal/person-5-matte.png" alt-text="Alpha matte of a group of people."::: |
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## Service limits
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To use the Image Analysis APIs, you must create your Azure AI Vision resource in a supported region. The Image Analysis features are available in the following regions:
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|Region | Analyze Image<br>(minus 4.0 Captions) | Analyze Image<br>(including 4.0 Captions) | Product Recognition | Multimodal embeddings | Background removal |
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|---|---|---|---|---|--|
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| East US ||||| |
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| West US ||| |||
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| West US 2 || ||| |
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| France Central ||| || |
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| North Europe ||| |||
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| West Europe ||| |||
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| Sweden Central || | || |
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| Switzerland North || | || |
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| Australia East || | || |
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| Southeast Asia ||| |||
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| East Asia ||| | | |
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| Korea Central ||| |||
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| Japan East || | || |
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|Region | Analyze Image<br>(minus 4.0 Captions) | Analyze Image<br>(including 4.0 Captions) | Product Recognition | Multimodal embeddings |
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|---|---|---|---|---|
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| East US |||||
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| West US ||| ||
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| West US 2 || |||
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| France Central ||| ||
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| North Europe ||| ||
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| West Europe ||| ||
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| Sweden Central || | ||
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| Switzerland North || | ||
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| Australia East || | ||
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| Southeast Asia ||| ||
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| East Asia ||| | |
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| Korea Central ||| ||
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| Japan East || | ||
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## Data privacy and security

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