Durch die Nutzung von AWS re:Post stimmt du den AWS re:Post Nutzungsbedingungen
AWS re:Postre:Post

Textract wrong detection based on a opencv made table

0

A table and embedded original images Hello everyone, I made a table using opencv and put some images of 97 in each of the table's grids. The 97 image itself can be detected, and if I only put one 97 in the top left, it also can be detected. However, with the above table, all 97 will be detected as L6. I tried different size and distance but none seems to work. Can someone please provide me a hint or help? Many thanks in advance!

Themen
Maschinelles Lernen & KI
Tags
Amazon Textract
Sprache
English
ocrtest
gefragt vor 8 Monaten207 Aufrufe
1 Antwort
0

Doesn't look like a real use case. The L6 seems to indicate that Textract identified the image to be rotated 180 degrees. You can verify that using: https://github.com/aws-samples/amazon-textract-response-parser/blob/master/src-python/README.md#page-orientation-in-degrees

You should get better accuracy with documents that resemble a more realistic use case.

AWS
Martin Schade _AWS_
beantwortet vor 8 Monaten
  • ocrtest
    vor 8 Monaten

    Hi Martin,

    Thank you for your quick response! Could you explain a bit more what it means by saying "Doesn't look like a real use case"? And what could be the reason and solution for the issue that Textract detects this table as 180 degrees rotated? Some other numbers I put in work well though. Thanks again!

Du bist nicht angemeldet. Anmelden um eine Antwort zu veröffentlichen.

Eine gute Antwort beantwortet die Frage klar, gibt konstruktives Feedback und fördert die berufliche Weiterentwicklung des Fragenstellers.

Richtlinien für die Beantwortung von Fragen

Relevanter Inhalt