From 40a333702a268d42877f2a9999bad923c55eaa26 Mon Sep 17 00:00:00 2001 From: Dave Glover Date: Tue, 16 Apr 2024 22:35:27 +1000 Subject: [PATCH] docs --- .../25-form-recognizer-studio/10-intro-form-recognizer.md | 4 ++-- .../25-form-recognizer-studio/25-upload-training-data.md | 8 ++++---- docs/docs/25-form-recognizer-studio/30-create-project.md | 4 ++-- docs/docs/25-form-recognizer-studio/50-train-model.md | 4 ++-- docs/docs/30-create-new-patient-app/20-upload-doc.md | 2 +- 5 files changed, 11 insertions(+), 11 deletions(-) diff --git a/docs/docs/25-form-recognizer-studio/10-intro-form-recognizer.md b/docs/docs/25-form-recognizer-studio/10-intro-form-recognizer.md index 608e3d6..8392183 100644 --- a/docs/docs/25-form-recognizer-studio/10-intro-form-recognizer.md +++ b/docs/docs/25-form-recognizer-studio/10-intro-form-recognizer.md @@ -1,6 +1,6 @@ -# Form recognizer studio +# Document Intelligence Studio -Form recognizer studio is a web-based tool that allows you to create custom models. You can use it to label your training documents and train your custom model. +Document Intelligence Studio is a web-based tool that allows you to create custom models. You can use it to label your training documents and train your custom model. ## Custom Form Recognizer models diff --git a/docs/docs/25-form-recognizer-studio/25-upload-training-data.md b/docs/docs/25-form-recognizer-studio/25-upload-training-data.md index 47f340f..d550d6b 100644 --- a/docs/docs/25-form-recognizer-studio/25-upload-training-data.md +++ b/docs/docs/25-form-recognizer-studio/25-upload-training-data.md @@ -1,6 +1,6 @@ # Upload training data -This topic describes how to upload your training data to [Form Recognizer Studio](https://learn.microsoft.com/azure/applied-ai-services/form-recognizer/concept-form-recognizer-studio?WT.mc_id=aiml-77396-cxa). +This topic describes how to upload your training data to [Document Intelligence Studio](https://learn.microsoft.com/azure/applied-ai-services/form-recognizer/concept-form-recognizer-studio?WT.mc_id=aiml-77396-cxa). ## New patient registration form @@ -8,7 +8,7 @@ In this workshop, you'll create a _custom template model_ to recognize the field This workshop includes a *New Patient Registration Form* and matching label data you need to upload to an Azure storage container. -The label data describes the location of the fields on the forms and was created for the workshop using Form recognizer Studio. The label data is in a JSON file that is named the same as the form file. For example, the label data for the form named `form1.pdf` is in the file named `form1.pdf.json`. The label data is in the same folder as the form files. +The label data describes the location of the fields on the forms and was created for the workshop using Document Intelligence Studio. The label data is in a JSON file that is named the same as the form file. For example, the label data for the form named `form1.pdf` is in the file named `form1.pdf.json`. The label data is in the same folder as the form files. +CORS should now be configured to use the storage account from Document Intelligence Studio. --> ## Upload new patient registration form training data diff --git a/docs/docs/25-form-recognizer-studio/30-create-project.md b/docs/docs/25-form-recognizer-studio/30-create-project.md index 0e05d72..39f29c0 100644 --- a/docs/docs/25-form-recognizer-studio/30-create-project.md +++ b/docs/docs/25-form-recognizer-studio/30-create-project.md @@ -1,8 +1,8 @@ # Create a project -The Form Recognizer Studio provides and orchestrates all the API calls required to complete your dataset and train your model. +The Document Intelligence Studio provides and orchestrates all the API calls required to complete your dataset and train your model. -1. Start by navigating to [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio). +1. Start by navigating to [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio). 1. Select the **Custom models** tile, on the custom models page. diff --git a/docs/docs/25-form-recognizer-studio/50-train-model.md b/docs/docs/25-form-recognizer-studio/50-train-model.md index fef44a6..1840cb3 100644 --- a/docs/docs/25-form-recognizer-studio/50-train-model.md +++ b/docs/docs/25-form-recognizer-studio/50-train-model.md @@ -29,11 +29,11 @@ With your training forms labeled, you're now ready to train your model. Follow t Once the model training is complete, you can test your model by selecting the model on the models list page. -1. Select **Test** from the Form Recognizer Studio menu. +1. Select **Test** from the Document Intelligence Studio menu. 1. Browse for a file or drag and drop a file into the *Test model* page. Select a .jpeg or .pdf file from the **contoso_new_patient_assets/training_labeled** folder that matches the language you used to train your model. 1. With a file selected, choose the **Analyze** button to test the model. 1. The model results are displayed in the main window and the fields extracted are listed in the right navigation bar on the *fields* tab. 1. Validate your model by evaluating the results for each field. 1. The right navigation bar also includes sample code to invoke your model and the JSON results from the API. -Congratulations you've trained a custom model in the Form Recognizer Studio! Your model is ready for use with the patient registration app. +Congratulations you've trained a custom model in the Document Intelligence Studio! Your model is ready for use with the patient registration app. diff --git a/docs/docs/30-create-new-patient-app/20-upload-doc.md b/docs/docs/30-create-new-patient-app/20-upload-doc.md index 54f4b83..fa99138 100644 --- a/docs/docs/30-create-new-patient-app/20-upload-doc.md +++ b/docs/docs/30-create-new-patient-app/20-upload-doc.md @@ -6,7 +6,7 @@ Complete a new patient registration form and upload it to the patient registrati You can print the document and then fill it out by hand, or you can open the document in a PDF reader and edit the document. -Use the `contoso_new_patient_assets/forms/new_patient_information_.pdf` document that matches the language you used to label and train the model in Form Recognizer Studio. +Use the `contoso_new_patient_assets/forms/new_patient_information_.pdf` document that matches the language you used to label and train the model in Document Intelligence Studio. ### Fill out the form by hand