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ML Kit for Firebase: features, capabilities, pros and cons

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Vlad Dm

Many developers expect innovations from Google on their I/O conference. And it is not a surprise — Google always has something exciting and unusual up its sleeve. The 2019 year wasn’t the exception to this rule. Android Q, upgraded Smart Assistant, new smartphones Pixel 3a, and Pixel 3a XL — the list of updates is far from being full.

And today we will focus on machine learning solutions for developers like ML Kit for Firebase. This Kit was presented to the public last year on Google I/O 2018. And this year it got some updates. Let’s review this SDK to find all the pros and cons and key capabilities.

We hope this definitive guide will be useful and cognitive for you.

ML Kit particularities

ML Kit SDK is a rather new product from Google that was presented in 2018. ML Kit is a software development kit that makes it possible for developers to simplify the integration of machine learning models into their mobile apps. Moreover, even a junior developer can deal with this task.

ML Kit is still available in the beta version only. It can be launched using Firebase. At the moment, there are 11 features with APIs available. By the way, only 5 features were available on Google I/O presentation in 2018, and today, this number is doubled. Features are the following:

  • Text recognition;
  • Face detection;
  • Barcode scanning;
  • Image labeling;
  • Object detection & tracking;
  • Landmark recognition;
  • Language identification;
  • Translation;
  • Smart reply;
  • AutoML model inference;
  • Custom model inference.

We will explore each feature and its API better a bit later, and now we will single out particularities and strong sides of ML Kit.

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