End of support notice: On October 31, 2025, AWS
will discontinue support for Amazon Lookout for Vision. After October 31, 2025, you will
no longer be able to access the Lookout for Vision console or Lookout for Vision resources.
For more information, visit this
blog post
Document history for Amazon Lookout for Vision
The following table describes important changes in each release of the Amazon Lookout for Vision Developer Guide. For notification about updates to this documentation, you can subscribe to an RSS feed.
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Latest documentation update: February 20th, 2023
| Change | Description | Date |
|---|---|---|
End of support notice | End of support notice: On October 31, 2025, AWS will discontinue support for Amazon Lookout for Vision.
After October 31, 2025, you will no longer be able to access the Lookout for Vision console or
Lookout for Vision resources. For more information, visit this
blog post | October 10, 2024 |
Added example Lambda function | Example showing how to find anomalies with an AWS Lambda function. For more information, see Finding anomalies with an AWS Lambda function. | February 20, 2023 |
Updated the IAM guidance for AWS WAF | Updated guide to align with the IAM best practices. For more information, see Security best practices in IAM. | February 8, 2023 |
Added dataset export example | Added Python example showing how to use the | December 2, 2022 |
Updated getting started topic | Updated getting started to show creating an image segmentation model with an example dataset. For more information, see Getting started with Amazon Lookout for Vision. | October 20, 2022 |
Added troubleshooting topic | Added model training troubleshooting topic. For more information, see Troubleshooting model training. | October 17, 2022 |
Added topic on using Amazon SageMaker AI Ground Truth jobs | Instead of labeling images yourself, you can use Amazon SageMaker AI Ground Truth jobs to label images for classification and image segmentation models. For more information, see Using an Amazon SageMaker AI Ground Truth job. | August 19, 2022 |
Amazon Lookout for Vision now provides anomaly localization. | You can create a segmentation model that finds the locations on an image where different types of anomalies (such as a scratch, dent, or tear) are present, the label of the anomaly and the size of the anomaly, For more information, see Running your trained Amazon Lookout for Vision model. | August 16, 2022 |
Amazon Lookout for Vision now provides CPU inference on edge devices. | Amazon Lookout for Vision models can now be deployed to run inference locally on an x86 compute platform running Linux with just a CPU, without needing a GPU accelerator. For more information, see CPU accelerator. | August 16, 2022 |
Amazon Lookout for Vision can now automatically scale inference units. | To help with spikes in demand, Amazon Lookout for Vision can now scale the number of inference units that your model uses. For more information, see Running your trained Amazon Lookout for Vision model. | August 16, 2022 |
Java examples added | The Amazon Lookout for Vision developer guide now includes Java examples. For more information, see Getting started with the AWS SDK. | May 2, 2022 |
General availability of model deployment to an edge device | Model deployment to an edge device managed by AWS IoT Greengrass Version 2 is now generally available. For more information, see Using your Amazon Lookout for Vision model on an edge device. | March 14, 2022 |
Updated console bucket information | Updated information on console bucket contents and alternative approaches to creating the console bucket. For more information, see Step 4: Create the console bucket. | March 7, 2022 |
Create a manifest file from a CSV file | You can now simplify the creation of a manifest file by using a script that reads classification information from a CSV file. For more information, see Creating a manifest file from a CSV file. | February 10, 2022 |
Preview release of model deployment to an edge device | The preview release of model deployment to an edge device managed by AWS IoT Greengrass Version 2 is now available. For more information, see Using your Amazon Lookout for Vision model on an edge device. | December 7, 2021 |
New Python and Java 2 examples added | Added Python and Java 2 examples for analyzing images with | September 7, 2021 |
New AWS managed policies added. | Amazon Lookout for Vision adds support for AWS managed policies. For more information, see AWS managed policies for Amazon Lookout for Vision. | May 11, 2021 |
Updated inference unit information. | Added information describing inference units and how they are charged. For more information, see Running your trained Amazon Lookout for Vision model. | March 15, 2021 |
General availability for Amazon Lookout for Vision. | Amazon Lookout for Vision is now generally available. Python code examples updated to handle asynchronous tasks such as training a model. | February 17, 2021 |
Tagging and AWS CloudFormation support added. | You can now tag Amazon Lookout for Vision models and create projects with AWS CloudFormation. For more information, see Tagging models and Creating Amazon Lookout for Vision projects with AWS CloudFormation. | January 31, 2021 |
New feature and guide | This is the initial release of the Amazon Lookout for Vision service Amazon Lookout for Vision Developer Guide. | December 1, 2020 |
