ML Kit

ML Kit

Google
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About

ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Make your iOS and Android apps more engaging, personalized, and helpful with solutions that are optimized to run on device. ML Kit’s processing happens on-device. This makes it fast and unlocks real-time use cases like processing of camera input. It also works while offline and can be used for processing images and text that need to remain on the device. Take advantage of the machine learning technologies that power Google's own experiences on mobile. We combine best-in-class machine learning models with advanced processing pipelines and offer these through easy-to-use APIs to enable powerful use cases in your apps. Recognizes handwritten text and handdrawn shapes on a digital surface, such as a touch screen. Recognizes 300+ languages, emojis and basic shapes.

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Machine learning solution for mobile developers

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Google
Founded: 1998
United States
developers.google.com/ml-kit

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Core ML

Core ML

Apple

Alternatives

Create ML

Create ML

Apple

Categories

Categories

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Integrations

Amazon EC2 Capacity Blocks for ML Not Supported
Amazon EC2 G5 Instances Not Supported
Amazon EC2 Trn1 Instances Not Supported
Amazon SageMaker Studio Not Supported
Apolo Not Supported
Azure Marketplace Not Supported
Cloudera Data Platform Not Supported
Databricks Not Supported
Exafunction Not Supported
Fabric for Deep Learning (FfDL) Not Supported
Fuzzball Not Supported
Groq Not Supported
IBM SPSS Modeler Not Supported
Intel Open Edge Platform Not Supported
Keepsake Not Supported
LaunchX Not Supported
NVIDIA Triton Inference Server Not Supported
Quantiphi Conversational AI Not Supported
Zebra by Mipsology Not Supported
navio Not Supported

Integrations

Amazon EC2 Capacity Blocks for ML Supported
Amazon EC2 G5 Instances Supported
Amazon EC2 Trn1 Instances Supported
Amazon SageMaker Studio Supported
Apolo Supported
Azure Marketplace Supported
Cloudera Data Platform Supported
Databricks Supported
Exafunction Supported
Fabric for Deep Learning (FfDL) Supported
Fuzzball Supported
Groq Supported
IBM SPSS Modeler Supported
Intel Open Edge Platform Supported
Keepsake Supported
LaunchX Supported
NVIDIA Triton Inference Server Supported
Quantiphi Conversational AI Supported
Zebra by Mipsology Supported
navio Supported
Claim ML Kit and update features and information
Claim ML Kit and update features and information
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Claim TensorFlow and update features and information