Skip to content

Commit d4e36f0

Browse files
committed
image formatting
1 parent 5741780 commit d4e36f0

13 files changed

+7
-5
lines changed

articles/search/cognitive-search-quickstart-blob.md

Lines changed: 3 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -46,8 +46,9 @@ In the following steps, set up a blob container in Azure Storage to store hetero
4646
1. Upload the sample data to a blob container.
4747

4848
1. Sign in to the [Azure portal](https://portal.azure.com/) and find your storage account.
49-
1. Open the Containers page and [create a container](../storage/blobs/storage-quickstart-blobs-portal.md#create-a-container) named "spanish-museums". You can use the default public access level.
50-
1. In the "spanish-museums" container, click **Upload** to upload the files in your local **spanish-museums** folder.
49+
1. In the left nave pane, select **Containers**.
50+
1. [Create a container](../storage/blobs/storage-quickstart-blobs-portal.md#create-a-container) named "spanish-museums". Use the default public access level.
51+
1. In the "spanish-museums" container, select **Upload** to upload the files from your local **spanish-museums** folder.
5152

5253
You should have 10 files containing French and Spanish descriptions of national museums located in Spain.
5354

articles/search/cognitive-search-quickstart-ocr.md

Lines changed: 4 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -15,7 +15,7 @@ ms.date: 10/07/2021
1515

1616
Learn how AI enrichment in Azure Cognitive Search adds Optical Character Recognition (OCR) and image analysis to create searchable content from image files.
1717

18-
In this quickstart, you'll run the **Import data** wizard to analyze visual content in JPG files. The content consists of photographs of signs. Output is a searchable index containing captions, tags, and text, all of which is queryable in the portal using [Search explorer](search-explorer.md). -->
18+
In this quickstart, you'll run the **Import data** wizard to analyze visual content in JPG files. The content consists of photographs of signs. Output is a searchable index containing captions, tags, and text identified through OCR, all of which is queryable in the portal using [Search explorer](search-explorer.md).
1919

2020
To prepare, you'll create a few resources and upload sample files before running the wizard.
2121

@@ -47,8 +47,9 @@ In the following steps, set up a blob container in Azure Storage to store hetero
4747
1. Upload the sample data to a blob container.
4848

4949
1. Sign in to the [Azure portal](https://portal.azure.com/) and find your storage account.
50-
1. Open the Containers page and [create a container](../storage/blobs/storage-quickstart-blobs-portal.md#create-a-container) named "signs". You can use the default public access level.
51-
1. In the "signs" container, click **Upload** to upload the files from your local **unsplash-images\jpg-signs** folder.
50+
1. In the left nave pane, select **Containers**.
51+
1. [Create a container](../storage/blobs/storage-quickstart-blobs-portal.md#create-a-container) named "signs". Use the default public access level.
52+
1. In the "signs" container, select **Upload** to upload the files from your local **unsplash-images\jpg-signs** folder.
5253

5354
You should have 10 files containing photographs of signs. There is a second subfolder that includes landmark buildings. If your search service is Basic or above, include the second set of files if you want to evaluate image analysis on files that do not include pictures of text.
5455

-1.95 KB
Loading
17.5 KB
Loading
5.01 KB
Loading
9.98 KB
Loading
-196 Bytes
Loading
11.6 KB
Loading
12.9 KB
Loading
6.69 KB
Loading

0 commit comments

Comments
 (0)