hi kimberley! thanks for posting this ))
u can actually train the custom extraction model to catch those missed numbers. the key is to use 'arrays' in your schema.
go to your custom model in the azure portal. when defining the field for item numbers, make sure to set it as an 'array' type instead of 'string'. this tells the model 'hey, expect multiple values here!'
then, during training, draw bounding boxes around ALL the item numbers u want it to recognize - even the ones it missed. the model learns better when u show it both correct and missed examples. https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool
sometimes the model misses numbers because of image quality. try enhancing the contrast or resolution before uploading. this might help in other tools too )
worth looking into the 'cross page validation' feature if your drawing spans multiple pages. the model can sometimes catch missed items by comparing similar patterns across pages.
when labeling, vary your bounding box sizes slightly for the same item number. this makes the model more flexible in real world scenarios.
if u keep having issues, try reducing the 'confidence threshold' temporarily during testing. this forces the model to show u more potential matches, even if it's not super confident. u can filter false positives later )
bonus thought - sometimes the issue isn't the model but the schema design. make sure u didn't accidentally mark the field as 'single value only' during setup. its an easy miss!
let me know if u hit any snags
Alex
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