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Merge pull request #1287 from cdpark/refresh-oct-patfarley-2
Feature 322546: Q&M: Freshness - AI Services & Search 180d target - Oct sprint - patfarley-2
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articles/ai-services/computer-vision/concept-tag-images-40.md

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---
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title: Content tags - Image Analysis 4.0
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titleSuffix: Azure AI services
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description: Learn concepts related to the images tagging feature of the Image Analysis 4.0 API.
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description: Learn how to generate image tags for a wide variety of objects by using the Image Analysis 4.0 API.
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#services: cognitive-services
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author: PatrickFarley
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manager: nitinme
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ms.service: azure-ai-vision
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ms.topic: conceptual
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ms.date: 01/19/2024
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ms.date: 11/01/2024
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ms.author: pafarley
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---
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# Image tagging (version 4.0)
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# Image tagging with Image Analysis version 4.0
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Image Analysis can return content tags for thousands of recognizable objects, living beings, scenery, and actions that appear in images. Tagging is not limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on. Tags aren't organized as a taxonomy and don't have inheritance hierarchies. When tags are ambiguous or not common knowledge, the API response provides hints to clarify the meaning of the tag in context of a known setting.
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Image Analysis can return content tags for thousands of recognizable objects, living beings, scenery, and actions that appear in images. Tagging isn't limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on. Tags aren't organized as a taxonomy and don't have inheritance hierarchies. When tags are ambiguous or not common knowledge, the API response provides hints to clarify the meaning of the tag in the context of a known setting.
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Try out the image tagging features quickly and easily in your browser using Vision Studio.
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Try out the image tagging feature quickly and easily in your browser by using Azure AI Vision Studio.
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> [!div class="nextstepaction"]
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> [Try Vision Studio](https://portal.vision.cognitive.azure.com/)
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The following JSON response illustrates what Azure AI Vision returns when tagging visual features detected in the example image.
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![A blue house and the front yard](./Images/house_yard.png).
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:::image type="content" source="images/house_yard.png" alt-text="Photograph of a blue house and the front yard.":::
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```json
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{
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## Use the API
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The tagging feature is part of the [Analyze Image](https://aka.ms/vision-4-0-ref) API. You can call this API using REST. Include `Tags` in the **features** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"tags"` section.
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The tagging feature is part of the [Analyze Image](https://aka.ms/vision-4-0-ref) API. You can call this API using REST. Include `Tags` in the `features` query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"tags"` section.
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* [Quickstart: Image Analysis REST API or client libraries](./quickstarts-sdk/image-analysis-client-library-40.md?pivots=programming-language-csharp)
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* [Quickstart: Image Analysis 4.0](./quickstarts-sdk/image-analysis-client-library-40.md?pivots=programming-language-csharp)
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## Next steps
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## Related content
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* Learn the related concept of [describing images](concept-describe-images-40.md).
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* Learn the related concept of [describing images](concept-describe-images-40.md)
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* [Call the Analyze Image API](./how-to/call-analyze-image-40.md)

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