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Cloud AutoML

Train high-quality custom machine learning models with minimal effort and machine learning expertise. ● AutoML Natural Language ● AutoML Translation ● AutoML Video Intelligence ● AutoML Vision ● AutoML Tables View documentation Automl Lead

Train custom machine learning models

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. State Of The Art

State-of-the-art performance

Cloud AutoML leverages more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions. Get Up And Running Fast

Get up and running fast

Use Cloud AutoML’s simple graphical user interface to train, evaluate, improve, and deploy models based on your data. You’re only a few minutes away from your own custom machine learning model. Generate High Quality Training Data

Generate high-quality training data

Google’s human labeling service can put a team of people to work annotating or cleaning your labels to make sure your models are being trained on high-quality data.

AutoML products

Create your own custom machine learning models with an easy-to-use graphical interface.

Sight	AutoML Vision Derive insights from images in the cloud or at the edge. Learn more	AutoML Video Intelligence^Beta Enable powerful content discovery and engaging video experiences. Learn more
Language	AutoML Natural Language Reveal the structure and meaning of text through machine learning. Learn more	AutoML Translation Dynamically detect and translate between languages. Learn more
Structured data	AutoML Tables^Beta Automatically build and deploy state-of-the-art machine learning models on structured data. Learn more

Sight

AutoML Vision

Derive insights from images in the cloud or at the edge.

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AutoML Video Intelligence^Beta

Enable powerful content discovery and engaging video experiences.

Learn more

Language

AutoML Natural Language

Reveal the structure and meaning of text through machine learning.

Learn more

AutoML Translation

Dynamically detect and translate between languages.

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Structured data

AutoML Tables^Beta

Automatically build and deploy state-of-the-art machine learning models on structured data.

Learn more

Our customers

Cloud AutoML’s technology is helping us build vision models to annotate our products with Disney characters, product categories, and colors. These annotations are being integrated into our search engine to enhance the impact on Guest experience through more relevant search results, expedited discovery, and product recommendations on shopDisney. — Mike White, CTO, SVP, Disney Consumer Products and Interactive Media Disney

California Design Den

This brand of bed linens is successfully supporting its expansion into ecommerce and competing with large retailers by leveraging Google machine learning and artificial intelligence. Read case study Imagia

Imagia

Imagia uses Google machine learning to discover markers for conditions such as chronic and age-related degenerative diseases for preventative assessment. Read case study Meredith Digital

Meredith Digital

As its volume of content explodes, publisher Meredith Digital is using machine learning to automate content classification, applying a custom universal taxonomy with Cloud AutoML and Cloud Natural Language. Read case study

How AutoML works

Cloud AutoML features

Custom models

Train custom machine learning models that are specific to your business needs, with minimum effort and machine learning expertise.

Powered by Google’s AutoML and transfer learning

Leverages Google state-of-the-art AutoML and transfer learning technology to produce high-quality models.

Fully integrated

Cloud AutoML is fully integrated with other Google Cloud services, giving you a consistent way to access the entire Google Cloud service line, including storing your training data in Cloud Storage. To generate a prediction on your trained model, simply use the existing Vision API by adding a parameter for your custom model or use AI Platform’s online prediction service.

Integration with data labeling service.

If you have images but no labels yet, an in-house Google team will review your custom instructions and classify your images accordingly. You’ll get high-quality training data while your data remains private. You can also use the human-labeled data seamlessly to train a custom model. Available for AutoML Vision only. Google Cloud

Get started

Cloud AutoML

Start training high-quality custom ML models. ● AutoML Natural Language ● AutoML Translation ● AutoML Video Intelligence ● AutoML Vision ● AutoML Tables

Start learning

Access how-to guides, quickstarts, and more. ● View documentation A product or feature listed on this page is in beta. For more information on our product launch stages, see here. ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● Sign up for the Google Cloud newsletter

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Cloud AutoML

Train custom machine learning models

State-of-the-art performance

Get up and running fast

Generate high-quality training data

AutoML products

AutoML Vision

AutoML Video IntelligenceBeta

AutoML Natural Language

AutoML Translation

AutoML TablesBeta

Our customers

California Design Den

Imagia

Meredith Digital

How AutoML works

Cloud AutoML features

Custom models

Powered by Google’s AutoML and transfer learning

Fully integrated

Integration with data labeling service.

Get started

Cloud AutoML

Start learning

Why Google

Products and pricing

Solutions

Resources

Engage

AutoML Video Intelligence^Beta

AutoML Tables^Beta