Skip to content

Commit 12a0597

Browse files
authored
Merge pull request #1547 from MikeRayMSFT/release-ignite-document-intelligence-v4
Synchronize from upstream integration branch.
2 parents 2bd8bf9 + a732f8a commit 12a0597

File tree

1 file changed

+37
-0
lines changed

1 file changed

+37
-0
lines changed

articles/ai-services/document-intelligence/quickstarts/studio-custom-project.md

Lines changed: 37 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -97,6 +97,43 @@ CORS should now be configured to use the storage account from Document Intellige
9797
> [!NOTE]
9898
> By default, the Studio will use documents that are located at the root of your container. However, you can use data organized in folders by specifying the folder path in the Custom form project creation steps. *See* [**Organize your data in subfolders**](../how-to-guides/build-a-custom-model.md?view=doc-intel-2.1.0&preserve-view=true#organize-your-data-in-subfolders-optional)
9999
100+
## Use Document Intelligence Studio features
101+
102+
### Auto label documents with prebuilt models or one of your own models
103+
104+
* In custom extraction model labeling page, you can now auto label your documents using one of Document Intelligent Service prebuilt models or your trained models.
105+
106+
:::image type="content" source="../media/studio/auto-label.gif" alt-text="Animated screenshot showing auto labeling in Studio.":::
107+
108+
* For some documents, duplicate labels after running autolabel are possible. Make sure to modify the labels so that there are no duplicate labels in the labeling page afterwards.
109+
110+
:::image type="content" source="../media/studio/duplicate-labels.png" alt-text="Screenshot showing duplicate label warning after auto labeling.":::
111+
112+
### Auto label tables
113+
114+
* In custom extraction model labeling page, you can now auto label the tables in the document without having to label the tables manually.
115+
116+
:::image type="content" source="../media/studio/auto-table-label.gif" alt-text="Animated screenshot showing auto table labeling in Studio.":::
117+
118+
### Add test files directly to your training dataset
119+
120+
* Once you train a custom extraction model, make use of the test page to improve your model quality by uploading test documents to training dataset if needed.
121+
122+
* If a low confidence score is returned for some labels, make sure to correctly label your content. If not, add them to the training dataset and relabel to improve the model quality.
123+
124+
:::image type="content" source="../media/studio/add-from-test.gif" alt-text="Animated screenshot showing how to add test files to training dataset.":::
125+
126+
### Make use of the document list options and filters in custom projects
127+
128+
* Use the custom extraction model labeling page to navigate through your training documents with ease by making use of the search, filter, and sort by feature.
129+
130+
* Utilize the grid view to preview documents or use the list view to scroll through the documents more easily.
131+
132+
:::image type="content" source="../media/studio/document-options.png" alt-text="Screenshot of document list view options and filters.":::
133+
134+
### Project sharing
135+
136+
Share custom extraction projects with ease. For more information, see [Project sharing with custom models](../how-to-guides/project-share-custom-models.md).
100137

101138
## Next steps
102139

0 commit comments

Comments
 (0)