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Merge pull request #217009 from PatrickFarley/freshness-pass
[cog svcs] Freshness pass
2 parents 6889dcd + b5d6792 commit ffd9ce5

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

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"redirect_url": "/azure/cognitive-services/text-analytics/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/cognitive-services/Computer-vision/index-identity.yml",
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"redirect_url": "/azure/cognitive-services/computer-vision/overview-identity",
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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/cognitive-services/Computer-vision/index-image-analysis.yml",
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"redirect_url": "/azure/cognitive-services/computer-vision/overview-image-analysis",
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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/cognitive-services/Computer-vision/index-ocr.yml",
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"redirect_url": "/azure/cognitive-services/computer-vision/overview-ocr",
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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/cognitive-services/Computer-vision/concept-extracting-text-ocr.md",
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"redirect_url": "/azure/cognitive-services/Computer-vision/overview-ocr",

articles/cognitive-services/Computer-vision/concept-describing-images.md

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ms.service: cognitive-services
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ms.subservice: computer-vision
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ms.topic: conceptual
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ms.date: 09/20/2022
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ms.date: 11/03/2022
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ms.author: pafarley
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ms.custom: seodec18, ignite-2022
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---

articles/cognitive-services/Computer-vision/concept-object-detection.md

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ms.service: cognitive-services
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ms.subservice: computer-vision
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ms.topic: conceptual
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ms.date: 09/20/2022
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ms.date: 11/03/2022
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articles/cognitive-services/Computer-vision/how-to/call-read-api.md

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---
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articles/cognitive-services/Computer-vision/index-identity.yml

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articles/cognitive-services/Computer-vision/index-image-analysis.yml

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articles/cognitive-services/Computer-vision/index-ocr.yml

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articles/cognitive-services/Computer-vision/index.yml

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ms.topic: hub-page # Required
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author: PatrickFarley #Required; your GitHub user alias, with correct capitalization.
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ms.author: pafarley #Required; microsoft alias of author; optional team alias.
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ms.date: 06/13/2022 #Required; mm/dd/yyyy format.
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ms.date: 11/03/2022 #Required; mm/dd/yyyy format.
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# itemType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | whats-new
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url: https://westus.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-2/operations/5d986960601faab4bf452005
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- text: Image Analysis
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url: https://westus.dev.cognitive.microsoft.com/docs/services/computer-vision-v3-2/operations/56f91f2e778daf14a499f21b
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- text: Face
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url: /rest/api/face/
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- title: Resources
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links:
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- text: Pricing

articles/cognitive-services/Computer-vision/overview-image-analysis.md

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keywords: computer vision, computer vision applications, computer vision service
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---
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Analyze color usage within an image. Computer Vision can determine whether an image is black & white or color and, for color images, identify the dominant and accent colors. [Detect the color scheme](concept-detecting-color-schemes.md)
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### Generate a thumbnail
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### Get the area of interest / smart crop
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Analyze the contents of an image to generate an appropriate thumbnail for that image. Computer Vision first generates a high-quality thumbnail and then analyzes the objects within the image to determine the *area of interest*. Computer Vision then crops the image to fit the requirements of the area of interest. The generated thumbnail can be presented using an aspect ratio that is different from the aspect ratio of the original image, depending on your needs. [Generate a thumbnail](concept-generating-thumbnails.md)
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Analyze the contents of an image to return the coordinates of the *area of interest* that matches a specified aspect ratio. Computer Vision returns the bounding box coordinates of the region, so the calling application can modify the original image as desired. [Generate a thumbnail](concept-generating-thumbnails.md)
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:::image type="content" source="Images/thumbnail-demo.png" alt-text="An image of a person on a mountain, with cropped versions to the right":::
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### Get the area of interest
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Analyze the contents of an image to return the coordinates of the *area of interest*. Instead of cropping the image and generating a thumbnail, Computer Vision returns the bounding box coordinates of the region, so the calling application can modify the original image as desired. [Get the area of interest](concept-generating-thumbnails.md#area-of-interest)
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### Moderate content in images
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You can use Computer Vision to [detect adult content](concept-detecting-adult-content.md) in an image and return confidence scores for different classifications. The threshold for flagging content can be set on a sliding scale to accommodate your preferences.

articles/cognitive-services/Computer-vision/overview-ocr.md

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ms.service: cognitive-services
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## Next steps
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- OCR for general (non-document) images - try the [Computer Vision 4.0 preview Image Analysis REST API quickstart](./concept-ocr.md).
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- OCR for PDF, Office and HTML documents and document images, start with [Form Recognizer Read](../../applied-ai-services/form-recognizer/concept-read.md).
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- OCR for general (non-document) images: try the [Computer Vision 4.0 preview Image Analysis REST API quickstart](./concept-ocr.md).
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- OCR for PDF, Office and HTML documents and document images: start with [Form Recognizer Read](../../applied-ai-services/form-recognizer/concept-read.md).
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- Looking for the previous GA version? Refer to the [Computer Vision 3.2 GA SDK or REST API quickstarts](./quickstarts-sdk/client-library.md).

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