Upload a form document that you haven’t used in the training process. Then click the Analyze button on the right to get key-value predictions/analyses for the form. The tool will highlight fields and its bounding boxes and will report the confidence of each value. You can improve model accuracy by labeling additional forms and training again to create a new model.
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Currently, Labeling tool is the first tool we present here. Users could provide feedback, and make customer-specific changes to meet their unique needs. Microsoft Azure Form Recognizer team will update the source code periodically. If you would like to contribute, please check the contributing section. Teachers generally can use Google forms for any education purposes for their classes.
What Are Survey Tools?
We recommend starting by labeling five forms and adding more forms as needed. To go thru a complete label-train-analyze scenario, you need a set of at least six forms of the same type. You will label five forms to train a model and one form to test the model. You could upload the sample files to the root of a blob storage container in an Azure Storage account.
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For example, they can create a Google form to collect links students’ assignments in a single spreadsheet. Science teachers can embed an experiment video into the forms and prepare several comprehension questions based on the video.
For advanced scenarios where there are forms in quite different formats, you could organize them into subfolders based on similar format. When you set up your project to train a model from one format, you need to specify a subfolder in the project setting page. The purpose of this repo is to allow customers to test the latest tools available when working with Microsoft Forms and OCR services.