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Skew Corrector using Machine Learning
by YouTube
1
ML Model
<100
Summary
Summary
The objective of this ML project is to correct the skewness in the image files using UiPath’s AI Fabric
Overview
Overview
The purpose of this project is to educate the end users on how to use UiPath’s MLSkill Activity with AI Fabric to correct the skewness in images. Those skew corrected images could be further used with Receipt Model, Abby or any 3rd party OCR for better extraction of data.
The file formats supported are PNG, JPEG or any scanned file in these 2 formats having textual data.
The project does not correct orientation.
Features
Features
During data extraction from a skewed document using OCR there is a high chance of losing some data or even extraction might fail. Recommended way is to correct the skewness and those skew corrected images could be further used with Receipt Model, Abby or any 3rd party OCR for better extraction of data. Limitations Does not correct orientation
Additional Information
Additional Information
Dependencies
The input scanned files must have resolution equal and above 300 DPI (Dots Per Inch) Internet connectivity of Bot to AI Fabric UiPath Studio must have ML Skills Activity present (version 19.4 Onwards) Download the package from uipath.mlservices.activities
License & Privacy
BSD
Privacy Terms
Technical
Version
1.0Updated
April 15, 2020Works with
UiPath Studio >= 19.4 UiPath.MLServices.Activities
Certification
Silver Certified
Support
UiPath Community Support
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