Skip to content

Commit b9d124c

Browse files
committed
writer updates
1 parent bb59b80 commit b9d124c

File tree

5 files changed

+6
-6
lines changed

5 files changed

+6
-6
lines changed

articles/cognitive-services/Computer-vision/concept-background-removal.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -14,7 +14,7 @@ ms.author: pafarley
1414
ms.custom: references_regions
1515
---
1616

17-
# Background removal (preview)
17+
# Background removal (version 4.0 preview)
1818

1919
The Image Analysis service can divide images into multiple segments or regions to help the user identify different objects or parts of the image. Background removal creates an alpha matte that separates the foreground object from the background in an image.
2020

articles/cognitive-services/Computer-vision/concept-model-customization.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -13,7 +13,7 @@ ms.date: 02/06/2023
1313
ms.author: pafarley
1414
---
1515

16-
# Model customization (preview)
16+
# Model customization (version 4.0 preview)
1717

1818
Model customization lets you train a specialized Image Analysis model for your own use case. Custom models can do either image classification (tags apply to the whole image) or object detection (tags apply to specific areas of the image). Once your custom model is created and trained, it belongs to your Computer Vision resource and you can call it using the [Analyze Image API](./how-to/call-analyze-image-40.md).
1919

@@ -176,4 +176,4 @@ We do not recommend you use custom models for business critical environments due
176176

177177
## Next steps
178178

179-
* [Create and train a custom model](./how-to/model-customization.md)
179+
[Create and train a custom model](./how-to/model-customization.md)

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

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -14,7 +14,7 @@ ms.date: 02/20/2023
1414
ms.author: pafarley
1515
---
1616

17-
# OCR for images (preview)
17+
# OCR for images (version 4.0 preview)
1818

1919
> [!NOTE]
2020
>

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

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -14,7 +14,7 @@ ms.date: 09/12/2022
1414
ms.author: pafarley
1515
---
1616

17-
# People detection (preview)
17+
# People detection (version 4.0 preview)
1818

1919
Version 4.0 of Image Analysis offers the ability to detect people appearing in images. The bounding box coordinates of each detected person are returned, along with a confidence score.
2020

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

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -42,7 +42,7 @@ For a more structured approach, follow a Training module for Image Analysis.
4242

4343
[!INCLUDE [image analysis versions](./includes/image-analysis-versions.md)]
4444

45-
## Image Analysis features
45+
## Analyze Image
4646

4747
You can analyze images to provide insights about their visual features and characteristics. All of the features in the list below are provided by the Analyze Image API. Follow a [quickstart](./quickstarts-sdk/image-analysis-client-library-40.md) to get started.
4848

0 commit comments

Comments
 (0)