Example with parsing issues

#4
by cjagadis - opened

Here is the output from the receipt. It is completely messed up. And thinks the "membership number" is an item and has no price. However, it uses the price of the following item and now the entire parsing is wrong. I have also enclosed the receipt.

COSTCO Halifax,NSB3SC5 230ChainLakeDr 171.74 9.44 14Member111847173522 13.49 1 65603AYLMERSTOM. 7.49 1 2367CRYSTALPLUS 3.99 1 518247SPRINGMIX 7.99 1 214203AMBROSIAAPP 6.49 1 15764BRUSSELSPRT 1.50- 1 1806168TPD/15764 6.99 1 39036ROMAINE 7.99 1 21366CLEMENTINES 11.89 1 313973EGGWHITES 8.99 1 1288721TOMATOES 6.99 1 164950KSPEPPRCORN 10.99 1 57554BLUEBERRIES 7.99 1 1167357KOREANSOYASA 16.49 1 193538SAPORITO 7.99 1 347937ROTICHICKEN 7.49 1 221777TOSTITOSROUN 39.99 1
costco.jpeg

Hello,
I am aware of these problems. There were numerous mistakes in the initial dataset used to train this model. I hope that these kinds of issues will disappear once I fix the dataset and retrain the model. For now, there is not much to do except for hiding the problematic items on your receipt (so they won't be picked up by the model).

Thanks, Appreciate the quick response.

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