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New ML Kit features easily bring Machine Learning to your apps

Blog post from Google Cloud

Post Details
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Date Published
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582
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English
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Summary

Firebase introduced new features for its ML Kit at the I/O conference, aimed at simplifying machine learning integration into applications. These features include an Object Detection and Tracking API, which allows real-time tracking of objects in images, and can be paired with cloud solutions for enhanced visual search experiences, as demonstrated by Adidas. Additionally, the On-device Translation API enables offline text translation into 58 languages, ensuring privacy by keeping translations on the device. Firebase also offers AutoML Vision Edge, allowing developers to create custom image classification models using uploaded training data, which can run locally on user devices. The initiative includes collaboration with the Material Design team to provide design patterns for integrating machine learning into apps, with these open-source patterns available on Material.io. These innovations reflect Firebase's commitment to making machine learning accessible to developers and enhancing user engagement, with ML Kit-powered features witnessing a 60% monthly growth in use.