From the course: Process Documents with Azure AI Document Intelligence
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Solution: Creating a custom model
From the course: Process Documents with Azure AI Document Intelligence
Solution: Creating a custom model
(exciting music) - [Instructor] So the goal of our challenge was to create a custom model to capture the required fields in the COVID consent forms and to display the results using the studio that rest API and Python. Here's how we accomplished the task. We first created a storage account and saved our training data in a block container called exercise files, in my case. We then labeled all the documents by assigning the proper fields. The key thing to note here is that one, some forms didn't have the middle name, so I had to draw a region for the empty fields. Two, the gender needed three selection marks. And three, the receipt vaccine checkbox also needed two selection marks. After we finished labeling, we created a neural model, which in my case is called LinkedInExercise02. The reason we chose a neural model for the exercise was because I tried it with a template model and the results were not as good. We then test the neural model we created. We uploaded the test file in the…
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Custom model definition4m 35s
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Setup a custom model via Document Intelligence Studio8m 41s
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Custom models via REST API and Python SDK3m 42s
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Composed model definition5m 52s
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Custom classification models definition9m 10s
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Challenge: Creating a custom model2m 13s
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Solution: Creating a custom model3m 15s
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