Creating And Training Custom ML Model to Read Sales Receipts Using AI-Powered Azure Form Recognizer

In one of my previous articles, we saw how one can utilize a prebuilt model to read data from a sales receipt. In this article, we will learn to create our own ML model, train it, and then extract information from a sales receipt. Here custom model means a model which is completely tailored to meet a specific need or a use case.

Steps involved

To perform this end-to-end workflow, there are 4 major steps.

Step 1 — Create Training Dataset

For training a model we need at least 5 documents of the same type, which means if we are planning to analyze receipts, then we need at least 5 samples of the sales receipts. If we are planning to extract data from a business card, then we need to have at least 5 samples of a business card, and so on and these documents can be either text or handwritten.

Step 2 — Upload Training Dataset

Once the training documents are collected, we need to upload that to Azure Storage. To perform this step, one should have Storage Account created on the Azure portal and one can upload images in the container using the below steps,