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Concerning the new ML Kit for Firebase, all the examples I have seen from Google is recognizing "machine" text, but I was wondering if it is possible to use the new ML Kit for Firebase to extract handwritten characters as well?
I think not, but I cannot find the information in the documentation or anywhere (and no I have not tried to actually use ML Kit yet).
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ML Kit is free of cost machine learning solution for iOS and Android apps, focusing on 'on-device' ML APIs. In addition, it provides an easy interface to additional google cloud AI solutions such as Google Cloud Vision API, TensorFlow Lite, and Neural Network APIs.
ML Kit is a mobile SDK that brings Google's machine learning expertise to Android and iOS apps in a powerful yet easy-to-use package. Whether you're new or experienced in machine learning, you can implement the functionality you need in just a few lines of code.
Get started with AIML Kit brings Google's machine learning expertise to mobile developers in a powerful yet easy-to-use package through Firebase.
Both single-language text and multi-language text are supported. On-device language detection: Detects the language of text without Internet connection. Both single-language text and multi-language text are supported. Automatic speech recognition: Converts speech (no longer than 60 seconds) into text in real time.
Right now, ML Kit does not work for a generic handwritten text sample but only on handwritten text that is very well written and sparse. We are considering adding support for it in the upcoming releases.
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ML Kit just released a new API as "Digital Ink Recognition" which can recognize handwritten notes if it is written on a digital surface(stroke-based), check it out: https://developers.google.com/ml-kit/vision/digital-ink-recognition
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