Google Cloud AutoML is a suite of machine learning products that enable developers with limited machine learning expertise to train models. On Jan 17 2018, Google announced AutoML Vision, a new service that helps developers, including those with no machine learning expertise to build custom image recognition models.
AutoML features simple training of custom vision models, state-of-the-art performance and a simple graphical user interface that allows users to create custom machine learning models in only a few minutes.
It is also integrated with human labeling, by providing a team of in-house human labelers that will review images custom instructions and classify them accordingly, while keeping them private. Users can leverage AutoML and transfer learning technology to produce high quality machine learning models.
Cloud AutoML is integrated with other Google Cloud services, providing customers with methods of access across the Google's Cloud service line.
Batch prediction Beta release
On October 14, 2019 Google released their batch prediction beta for their API version v1beta1. This release allows users to make batch predictions in their AutoML Vision models in the Google Cloud.
TensorFlow.js Integration Beta
On October 14, 2019 Google released its TensorFlow.js Integration Beta. This update allowed the exporting of AutoML Vision Edge models as TensorFlow.js packages.
Image Classification Beta Refresh
On October 9, 2019 Google announced releasing their Image Classification Beta Refresh. A release that began allowing AutoML to support classification and object detection as model objects.
AutoML Vision Edge Beta release
On April 10, 2019 Google AutoML announced releasing AutoML Vision Edge Beta.
AutoML Vision Beta release
On July 24, 2018 Google announced releasing AutoML Vision Beta.
AutoML Vision Alpha release
On May 3, 2018 Google announced releasing the alpha version of AutoML Vision Alpha.
Launch of Google AutoML
On January 17, 2018 Google announced AutoML Vision, a new service that helps developers, including those with no machine learning expertise to build custom image recognition model.
AutoML for large scale image classification and object detection
Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc Le, Research Scientists, Google Brain Team
Using Machine Learning to Explore Neural Network Architecture
Quoc Le & Barret Zoph, Research Scientists, Google Brain team
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