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How to correct model tagging

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Posted on by airlansa

Hello,

I am currently using a custom trained model to extract fields from PDF invoices. Overall, its performance is average, but in certain cases, it mistakenly detects the invoice number.

Even when I manually drag a rectangle around the number, the model still includes the preceding ":" symbol, resulting in an incorrect detection.

Is there a way to instruct the model that the correct number format should be "104263155" without the ":"?

I'm concerned that if I retrain the model using this specific document, it might worsen its performance. By doing so, I fear that the model will be reinforced to recognize ":104263155" as the correct value, leading to further prediction failures.

Thank you in advance for your assistance.

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Antoine2F on at

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Hello,
Did you try with NumFactura set as a Number field instead of Text field, in the 'Choose information to extract' step? (it's a preview feature)

Note that I tried to reproduce your behavior but I coudln't, even with a text field...

Antoine

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airlansa 8 on at

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It would be a possibility but in some other collections of the same model, that NumFactura is an alphanumeric field in my case.
I think that i will add a post process step to erase ":"

About retraining the model with these problematic documents, what do you suggest to me?
In my opinion the feature to tell the model that is wrong in order to learn from user would be great.

Thanks in advance.

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Antoine2F on at

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If you can train your model with this problematic document, and with correct tagging for this document, then it should improve the model.
You can also have a look at feedback loop : Retrain documents using the feedback loop feature | Microsoft Learn

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airlansa 8 on at

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Yes, it would be my first option. But unfortunately when I try to tag it, the app doesn't allow me to do it correctly including the preceding ":" regardless how I draw the rectangle.
See the attached video link.
https://imgur.com/a/cVIEm4d

Best regards.

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Antoine2F on at

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Drawing the rectangle differently doesn't help. Issue is with the recognized word.

It is strange that the recognized word includes the ':'. I don't experience the same when testing with a snapshot of your video: recognized word doesn't include the ':'.

Maybe you can test in a different browser or with a cropped version of your original document.

best regards

Antoine

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