M. MLKit

Firebase MLKit

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. There's no need to have deep knowledge of neural networks or model optimization to get started. On the other hand, if you are an experienced ML developer, ML Kit provides convenient APIs that help you use your custom TensorFlow Lite models in your mobile apps.

Key capabilities

Capability	Description
Production-ready for common use cases	ML Kit comes with a set of ready-to-use APIs for common mobile use cases: recognizing text, detecting faces, identifying landmarks, scanning barcodes, and labeling images. Simply pass in data to the ML Kit library and it gives you the information you need.
On-device or in the cloud	ML Kit’s selection of APIs run on-device or in the cloud. Our on-device APIs can process your data quickly and work even when there’s no network connection. Our cloud-based APIs, on the other hand, leverage the power of Google Cloud Platform's machine learning technology to give you an even higher level of accuracy.
Deploy custom models	If ML Kit's APIs don't cover your use cases, you can always bring your own existing TensorFlow Lite models. Just upload your model to Firebase, and we'll take care of hosting and serving it to your app. ML Kit acts as an API layer to your custom model, making it simpler to run and use.

How does it work?

ML Kit makes it easy to apply ML techniques in your apps by bringing Google's ML technologies, such as the Google Cloud Vision API, TensorFlow Lite, and the Android Neural Networks API together in a single SDK. Whether you need the power of cloud-based processing, the real-time capabilities of mobile-optimized on-device models, or the flexibility of custom TensorFlow Lite models, ML Kit makes it possible with just a few lines of code.

What features are available on device or in the cloud?

Feature	On-device	Cloud
Text recognition	yes	yes
Face detection	yes	no
Barcode scanning	yes	no
Image labeling	yes	yes
Landmark recognition	no	yes

NOTICE: Use of ML Kit to access Cloud ML functionality is subject to the Google Cloud Platform License Agreement and Service Specific Terms, and billed accordingly. For billing information, see the Firebase Pricing page.

Get started with Firebase MLKit in AdobeAIR

• Add MLKit ANE to your project
• Recognize Text
• Detect Faces
• Scan Barcodes
• Label Images
• Recognize Landmarks

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DISCRIMINATION: Firebase SDKs are developed by Google and they own every copyright to the Firebase "native" projects. However, we have used their "compiled" native SDKs to develop the ActionScript API to be used in AdobeAIR mobile projects. Moreover, as far as the documentations, we have copied and when needed has modified the Google documents so it will fit the needs of AdobeAIR community. If you wish to see the original documentations in Android/iOS, visit here. But if you are interested to do things in AdobeAIR, then you are in the right place.