'Training AI Models Using User Feedback: The Pros and Cons' scanningapp datascanningsolutions
It's not enough to create a high-quality and useful mobile app that meets the needs of users in a particular niche. Constantly working on new versions of an app is something that all developers face. Our iScanner team is no exception.neural network training is largely based on the OCR algorithm. The OCR algorithm needs data to improve its functionality. To be more specific,Imagine you have the task of recognizing handwritten text.
The same characters can be written in a variety of ways, and one must also take into account the angle of the text, which depends on the hand used while writing, as well as the sloppiness and illegibility of the handwriting. Also, in addition to the uniqueness of the characters in each handwriting, there is the problem of the way the characters are connected.
I want to note that we have always paid close attention to working with user experience. This time, we asked active iScanner users to help us make the app better and send us their handwritten notes. We announced the Handwriting Challenge right in the app and on the iScanner website, and we've already achieved some results. Users have sent us study notes, book extracts, notepad notes, etc.
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