Google shows its ‘Vision’ for accessible AI with AutoML

Google has introduced Vision, the first of its Cloud AutoML series of machine-learning solutions designed to make AI development faster and easier.

AutoML Vision is a new service which aims to simplify the creation of custom machine-learning models for image recognition. The interface is drag-and-drop to ensure it’s accessible to a wide range of developers, researchers, and businesses.

Mike White, CTO and SVP, for Disney Consumer Products and Interactive Media, says:

“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.”

Google claims its early results with Cloud AutoML Vision has shown it’s ability to classify public datasets like ImageNet and CIFAR with greater accuracy and fewer misclassifications than generic ML APIs.

Alan Rosenwinkel, Data Scientist at URBN, comments:

“Creating and maintaining a comprehensive set of product attributes is critical to providing our customers relevant product recommendations, accurate search results, and helpful product filters; however, manually creating product attributes is arduous and time-consuming.

To address this, our team has been evaluating Cloud AutoML to automate the product attribution process by recognizing nuanced product characteristics like patterns and necklines styles. Cloud AutoML has great promise to help our customers with better discovery, recommendation, and search experiences."

Here are some of the AutoML Vision’s other benefits:

  • Increased accuracy: Cloud AutoML Vision is built on Google’s leading image recognition approaches, including transfer learning and neural architecture search technologies. This means you’ll get a more accurate model even if your business has limited machine learning expertise.

  • Faster turnaround time to production-ready models: With Cloud AutoML, you can create a simple model in minutes to pilot your AI-enabled application, or build out a full, production-ready model in as little as a day.

  • Easy to use: AutoML Vision provides a simple graphical user interface that lets you specify data, then turns that data into a high quality model customized for your specific needs.

In a joint post, Google employees Jia Li, Head of R&D of Cloud AI, and Fei-Fei Li, Chief Scientist, Cloud AI, wrote:

“AutoML Vision is the result of our close collaboration with Google Brain and other Google AI teams, and is the first of several Cloud AutoML products in development.

While we’re still at the beginning of our journey to make AI more accessible, we’ve been deeply inspired by what our 10,000+ customers using Cloud AI products have been able to achieve.

We hope the release of Cloud AutoML will help even more businesses discover what’s possible through AI."

Getting started with AI can be daunting, and the well-documented skill shortage is one of the major barriers limiting adoption. It’s good to see companies like Google working to make AI more accessible to unlock its full potential.

If you’re interested in trying out AutoML Vision, you can request access via this form

What are your thoughts on Google’s AutoML Vision? Let us know in the comments.

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