update include file

Author: laujan

articles/ai-services/document-intelligence/concept-accuracy-confidence.md

@@ -16,9 +16,10 @@ ms.author: lajanuar
 
 A confidence score indicates probability by measuring the degree of statistical certainty that the extracted result is detected correctly. The estimated accuracy is calculated by running a few different combinations of the training data to predict the labeled values. In this article, learn to interpret accuracy and confidence scores and best practices for using those scores to improve accuracy and confidence results.
 
-
 ## Confidence scores
+
 > [!NOTE]
+>
 > * Field level confidence is getting update to take into account word confidence score starting with **2024-07-31-preview** API version for **custom models**.
 > * Confidence scores for tables, table rows and table cells are available starting with the **2024-07-31-preview** API version for **custom models**.
 

articles/ai-services/document-intelligence/includes/input-requirements.md

@@ -1,32 +1,31 @@
 ---
 author: laujan
 ms.service: azure-ai-document-intelligence
-ms.custom:
-  - ignite-2023
 ms.topic: include
-ms.date: 11/15/2023
+ms.date: 08/13/2024
 ms.author: lajanuar
 ---
 <!-- markdownlint-disable MD041 -->
 
-* For best results, provide one clear photo or high-quality scan per document.
 
 * Supported file formats:
 
-    |Model | PDF |Image: </br>JPEG/JPG, PNG, BMP, TIFF, HEIF | Microsoft Office: </br> Word (DOCX), Excel (XLSX), PowerPoint (PPTX), and HTML|
-    |--------|:----:|:-----:|:---------------:
+    |Model | PDF |Image: </br>JPEG/JPG, PNG, BMP, TIFF, HEIF | Microsoft Office: </br> Word (DOCX), Excel (XLSX), PowerPoint (PPTX), HTML|
+    |--------|:----:|:-----:|:---------------:|
     |Read            | ✔    | ✔    | ✔  |
-    |Layout          | ✔  | ✔ | ✔ (2024-02-29-preview, 2023-10-31-preview)  |
+    |Layout          | ✔  | ✔ | ✔ (2024-07-31-preview, 2024-02-29-preview, 2023-10-31-preview)  |
     |General&nbsp;Document| ✔  | ✔ |   |
     |Prebuilt        |  ✔  | ✔ |   |
     |Custom extraction |  ✔  | ✔ |   |
-    |Custom classification  |  ✔  | ✔ | ✔ (2024-02-29-preview)  |
+    |Custom classification  |  ✔  | ✔ | ✔ (2024-07-31-preview, 2024-02-29-preview)  |
+
+* For best results, provide one clear photo or high-quality scan per document.
 
 * For PDF and TIFF, up to 2000 pages can be processed (with a free tier subscription, only the first two pages are processed).
 
 * The file size for analyzing documents is 500 MB for paid (S0) tier and 4 MB for free (F0) tier.
 
-* Image dimensions must be between 50 x 50 pixels and 10,000 px x 10,000 pixels.
+* Image dimensions must be between 50 pixels x 50 pixels and 10,000 pixels x 10,000 pixels.
 
 * If your PDFs are password-locked, you must remove the lock before submission.
 
@@ -36,4 +35,4 @@ ms.author: lajanuar
 
   * For custom extraction model training, the total size of training data is 50 MB for template model and 1G-MB for the neural model.
 
-  * For custom classification model training, the total size of training data is `1GB`  with a maximum of 10,000 pages.
+  * For custom classification model training, the total size of training data is `1GB`  with a maximum of 10,000 pages. For 2024-07-31-preview and later, the total size of training data is 2GB with a maximum of 10,000 pages.