We were founded in 2005 in a tiny apartment in Bucharest, Romania as DeskOver.

Fittingly, it was a customer who, in 2012, first saw the immense possibilities for us in the fledgling RPA market. Our desktop automation product launched in 2013. In 2015, we introduced our enterprise platform along with our new name.

Today, UiPath is the fastest-growing enterprise software company in history with scores of offices, thousands of employees, partnerships with the world’s best consulting and BPO firms, a 500,000-strong developer community, and 5MM+ robots at work in over 5,000 global enterprises.

Our mission is to deliver the leading Robotic Process Automation platform to our clients for an automation first mindset.

We build software robots that automate repetitive processes. Our software robots take on the tedious, mind-numbing work and free people to do the more stimulating, creative work worth doing.

But no matter how much we’ve grown, one thing hasn’t changed. We’re still building a company we love to work for

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.

The objective of this ML project is to correct the skewness in the image files using UiPath’s AI Fabric

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Senior ML Developer

Hi, I am trying to test this solution. can you please include documentation of how it works. I see on the video you are running it in UiPath studio but on the folder, I only found two files (Main.py and requirements.txt). 

I tried but need to know where the output file will be stored?

There are just two files main.py and requirements.txt, please suggest how it should be used.

A great model to correct the image skew and tilt, which can be used in pre-processing any documents before extraction or classification. 

Skew Corrector using Machine Learning

Skew Corrector using Machine Learning

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