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# Introducing ML Kit for Firebase

**[Firebase](https://daily.dev/sources/firebase-blog)** · 4 min read · 0 upvotes · 0 comments

## Summary

Google introduced ML Kit for Firebase in beta at Google I/O, an SDK that brings machine learning capabilities to Android and iOS developers regardless of ML expertise. It ships five ready-to-use base APIs (text recognition, face detection, barcode scanning, image labeling, landmark recognition) available as on-device or cloud versions, plus support for deploying custom TensorFlow Lite models via the Firebase console. Two more APIs (smart reply, high-density face contours) are planned, and an experimental model compression feature is open for early feedback. ML Kit integrates with other Firebase products like Remote Config, A/B Testing, Cloud Firestore, and Analytics.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://firebase.blog/posts/2018/05/introducing-ml-kit-for-firebase>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#google](https://daily.dev/tags/google), [#mobile](https://daily.dev/tags/mobile), [#firebase](https://daily.dev/tags/firebase), [#tensorflow](https://daily.dev/tags/tensorflow)

[View this post on daily.dev](https://daily.dev/posts/introducing-ml-kit-for-firebase-yqccsthzs)

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