Merge pull request #89142 from IEvangelist/fixTypoOnCSdoc

[CogSvcs] Fixed typo

Author: PRMerger15

articles/cognitive-services/cognitive-services-container-support.md

@@ -45,7 +45,7 @@ Azure Cognitive Services containers provide the following set of Docker containe
 | Service | Supported Pricing Tier | Container | Description |
 |---------|----------|----------|-------------|
 |[Anomaly detector][ad-containers] |F0, S0|**Anomaly-Detector** |The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning.<br>[Request access](https://aka.ms/adcontainer)|
-|[Computer Vision][cv-containers] |F0, S1|**Read** |Extracts printed text from images of various objects with different surfaces and backgrounds, such as receipts, posters, and business cards. The Read container also detects *handwritten text* in images and provides PDF/TIFF/multi-page support.<br/><br/>**Important:** The Recognize Text container currently works only with English.<br>[Request access](Computer-vision/computer-vision-how-to-install-containers.md#request-access-to-the-private-container-registry)|
+|[Computer Vision][cv-containers] |F0, S1|**Read** |Extracts printed text from images of various objects with different surfaces and backgrounds, such as receipts, posters, and business cards. The Read container also detects *handwritten text* in images and provides PDF/TIFF/multi-page support.<br/><br/>**Important:** The Read container currently works only with English.<br>[Request access](Computer-vision/computer-vision-how-to-install-containers.md#request-access-to-the-private-container-registry)|
 |[Computer Vision][cv-containers] |F0, S1|**Recognize Text** |Extracts printed text from images of various objects with different surfaces and backgrounds, such as receipts, posters, and business cards.<br/><br/>**Important:** The Recognize Text container currently works only with English.<br>[Request access](Computer-vision/computer-vision-how-to-install-containers.md#request-access-to-the-private-container-registry)|
 |[Face][fa-containers] |F0, S0|**Face** |Detects human faces in images, and identifies attributes, including face landmarks (such as noses and eyes), gender, age, and other machine-predicted facial features. In addition to detection, Face can check if two faces in the same image or different images are the same by using a confidence score, or compare faces against a database to see if a similar-looking or identical face already exists. It can also organize similar faces into groups, using shared visual traits.<br>[Request access](Face/face-how-to-install-containers.md#request-access-to-the-private-container-registry) |
 |[Form recognizer][fr-containers] |F0, S0|**Form Recognizer** |Form Understanding applies machine learning technology to identify and extract key-value pairs and tables from forms.<br>[Request access](https://aka.ms/FormRecognizerContainerRequestAccess)|