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@@ -65,12 +65,19 @@ Core and memory correspond to the `--cpus` and `--memory` settings, which are us
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## Get the container image with `docker pull`
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The Anomaly Detector container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/decision` repository and is named `anomaly-detector`. The fully qualified container image name is `mcr.microsoft.com/azure-cognitive-services/decision/anomaly-detector`.
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To use the latest version of the container, you can use the `latest` tag. You can also find a full list of [image tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/decision/anomaly-detector/tags).
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Use the [`docker pull`](https://docs.docker.com/engine/reference/commandline/pull/) command to download a container image.
> When using [`docker pull`](https://docs.docker.com/engine/reference/commandline/pull/), pay close attention to the casing of the container registry, repository, container image name and corresponding tag. They are case sensitive.
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For a full description of available tags, such as `latest` used in the preceding command, see [anomaly-detector](https://go.microsoft.com/fwlink/?linkid=2083827&clcid=0x409) on Docker Hub.
Copy file name to clipboardExpand all lines: articles/cognitive-services/Computer-vision/computer-vision-how-to-install-containers.md
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ms.service: cognitive-services
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ms.subservice: computer-vision
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ms.topic: how-to
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ms.date: 12/27/2022
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ms.date: 01/18/2023
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ms.author: pafarley
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ms.custom: seodec18, cog-serv-seo-aug-2020
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keywords: on-premises, OCR, Docker, container
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## Get the container image
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The Computer Vision Read OCR container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services` repository and is named `read`. The fully qualified container image name is, `mcr.microsoft.com/azure-cognitive-services/vision/read`.
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To use the latest version of the container, you can use the `latest` tag. You can also find a full list of [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/vision/read/tags).
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The following container images for Read are available.
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## Get the container image with `docker pull`
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The LUIS container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/language` repository and is named `luis`. The fully qualified container image name is, `mcr.microsoft.com/azure-cognitive-services/language/luis`.
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To use the latest version of the container, you can use the `latest` tag. You can also find a full list of [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/language/luis/tags).
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Use the [`docker pull`](https://docs.docker.com/engine/reference/commandline/pull/) command to download a container image from the `mcr.microsoft.com/azure-cognitive-services/language/luis` repository:
Copy file name to clipboardExpand all lines: articles/cognitive-services/Speech-Service/speech-container-howto.md
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ms.service: cognitive-services
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ms.subservice: speech-service
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ms.topic: how-to
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ms.date: 01/24/2022
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ms.date: 01/18/2023
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ms.author: eur
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keywords: on-premises, Docker, container
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[!INCLUDE [Request access to public preview](../../../includes/cognitive-services-containers-request-access.md)]
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## Get the container image with docker pull
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Container images for Speech are available in the following container registry.
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## Speech container images
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# [Speech-to-text](#tab/stt)
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The Speech-to-text container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/speechservices/` repository and is named `speech-to-text`. The fully qualified container image name is, `mcr.microsoft.com/azure-cognitive-services/speechservices/speech-to-text`. You can find a full list of [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/speech-to-text/tags).
The Custom Speech-to-text container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/speechservices/` repository and is named `custom-speech-to-text`. The fully qualified container image name is `mcr.microsoft.com/azure-cognitive-services/speechservices/custom-speech-to-text`.
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To use the latest version of the container, you can use the `latest` tag. You can also find a full list of [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/custom-speech-to-text/tags).
The Neural Text-to-speech container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/speechservices/` repository and is named `neural-text-to-speech`. The fully qualified container image name is, `mcr.microsoft.com/azure-cognitive-services/speechservices/neural-text-to-speech`.
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To use the latest version of the container, you can use the `latest` tag. You can also find a full list of [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/neural-text-to-speech/about).
The Speech language detection container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/speechservices/` repository and is named `language-detection`. The fully qualified container image name is, `mcr.microsoft.com/azure-cognitive-services/speechservices/language-detection`.
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To use the latest version of the container, you can use the `latest` tag. You can also find a full list of [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/language-detection/tags).
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> [!TIP]
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> To get the most useful results, use the Speech language identification container with the speech-to-text or custom speech-to-text containers.
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[!INCLUDE [Tip for using docker list](../../../includes/cognitive-services-containers-docker-list-tip.md)]
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[!INCLUDE [Request access to public preview](../../../../includes/cognitive-services-containers-request-access.md)]
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## Translator container image
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The Translator container image can be found on the `mcr.microsoft.com` container registry syndicate. It resides within the `azure-cognitive-services/translator` repository and is named `text-translation`. The fully qualified container image name is `mcr.microsoft.com/azure-cognitive-services/translator/text-translation:1.0.019410001-amd64-preview`.
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To use the latest version of the container, you can use the `latest` tag. You can also find a full list of [tags on the MCR](https://mcr.microsoft.com/product/azure-cognitive-services/translator/text-translation/tags).
#Customer intent: As a potential customer, I want to know more about how Cognitive Services provides and supports Docker containers for each service.
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## Containers in Azure Cognitive Services
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Azure Cognitive Services containers provide the following set of Docker containers, each of which contains a subset of functionality from services in Azure Cognitive Services. You can find instructions and image locations in the tables below. A list of [container images](containers/container-image-tags.md) is also available.
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Azure Cognitive Services containers provide the following set of Docker containers, each of which contains a subset of functionality from services in Azure Cognitive Services. You can find instructions and image locations in the tables below.
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> [!NOTE]
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> See [Install and run Form Recognizer containers](../applied-ai-services/form-recognizer/containers/form-recognizer-container-install-run.md) for **Applied AI Services Form Recognizer** container instructions and image locations.
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| Service | Container | Description | Availability |
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|--|--|--|--|
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|[Anomaly detector][ad-containers]|**Anomaly Detector** ([image](https://hub.docker.com/_/microsoft-azure-cognitive-services-decision-anomaly-detector)) | The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning. | Generally available |
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|[Anomaly detector][ad-containers]|**Anomaly Detector** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/decision/anomaly-detector/about)) | The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning. | Generally available |
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### Language containers
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| Service | Container | Description | Availability |
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|--|--|--|--|
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|[LUIS][lu-containers]|**LUIS** ([image](https://go.microsoft.com/fwlink/?linkid=2043204&clcid=0x409)) | Loads a trained or published Language Understanding model, also known as a LUIS app, into a docker container and provides access to the query predictions from the container's API endpoints. You can collect query logs from the container and upload these back to the [LUIS portal](https://www.luis.ai) to improve the app's prediction accuracy. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-keyphrase]|**Key Phrase Extraction** ([image](https://go.microsoft.com/fwlink/?linkid=2018757&clcid=0x409)) | Extracts key phrases to identify the main points. For example, for the input text "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff". | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-language]|**Text Language Detection** ([image](https://go.microsoft.com/fwlink/?linkid=2018759&clcid=0x409)) | For up to 120 languages, detects which language the input text is written in and report a single language code for every document submitted on the request. The language code is paired with a score indicating the strength of the score. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-sentiment]|**Sentiment Analysis** ([image](https://go.microsoft.com/fwlink/?linkid=2018654&clcid=0x409)) | Analyzes raw text for clues about positive or negative sentiment. This version of sentiment analysis returns sentiment labels (for example *positive* or *negative*) for each document and sentence within it. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-health]|**Text Analytics for health** ([image](https://hub.docker.com/_/microsoft-azure-cognitive-services-textanalytics-healthcare))| Extract and label medical information from unstructured clinical text. | Generally available |
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|[Translator][tr-containers]|**Translator** ([image](https://hub.docker.com/_/microsoft-azure-cognitive-services-translator-text-translation))| Translate text in several languages and dialects. | Generally available. Gated - [request access](https://aka.ms/csgate-translator). <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[LUIS][lu-containers]|**LUIS** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/language/luis/about)) | Loads a trained or published Language Understanding model, also known as a LUIS app, into a docker container and provides access to the query predictions from the container's API endpoints. You can collect query logs from the container and upload these back to the [LUIS portal](https://www.luis.ai) to improve the app's prediction accuracy. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-keyphrase]|**Key Phrase Extraction** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/keyphrase/about)) | Extracts key phrases to identify the main points. For example, for the input text "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff". | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-language]|**Text Language Detection** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/language/about)) | For up to 120 languages, detects which language the input text is written in and report a single language code for every document submitted on the request. The language code is paired with a score indicating the strength of the score. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-sentiment]|**Sentiment Analysis** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/sentiment/about)) | Analyzes raw text for clues about positive or negative sentiment. This version of sentiment analysis returns sentiment labels (for example *positive* or *negative*) for each document and sentence within it. | Generally available. <br> This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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|[Language service][ta-containers-health]|**Text Analytics for health** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/textanalytics/healthcare/about))| Extract and label medical information from unstructured clinical text. | Generally available |
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|[Translator][tr-containers]|**Translator** ([image](https://mcr.microsoft.com/product/azure-cognitive-services/translator/text-translation/about))| Translate text in several languages and dialects. | Generally available. Gated - [request access](https://aka.ms/csgate-translator). <br>This container can also [run in disconnected environments](containers/disconnected-containers.md). |
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