Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Amazon SageMaker Ground Truth

#19 of 24 in Data Labeling SoftwareAI Data Labeling ToolsAI Image Annotation Tools

Amazon SageMaker Ground Truth: A broad AWS labeling service for existing customers with complex ML workflows. Ranked #19 of 24 in Data Labeling Software by our editors (7.3/10); pricing: Paid; best for AWS-centric enterprise labeling pipelines.

7.3/10Editor score
Amazon SageMaker Ground Truth7.3 Visit AWS

At a glance

  • Editor score
    7.3 / 10
  • Pricing
    Paid
  • Best for
    AWS-centric enterprise labeling pipelines
  • Free plan
    No
  • Model-assisted labeling
    Yes
  • Facts checked
    21 Sep 2026
  • Where it wins

    • Supports image, text, video, and 3D point-cloud annotation
    • Combines active learning, verification, and multi-worker consolidation
    • Offers console and API workflows with deep AWS integrations
  • Where it doesn't

    • AWS states it is no longer open to new customers
    • No new features are planned, according to AWS
    • Usage-based pricing depends on workforce and related AWS resources

Our verdict on Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth is a cloud service for creating machine-learning training datasets. It supports image annotation, text annotation, video and video-frame annotation, and 3D point-cloud annotation. Teams can create labeling jobs through the SageMaker console or API, use private, vendor, or Mechanical Turk workforces, and design custom worker interfaces. Its audience is primarily organizations already operating data pipelines in AWS, especially those that need several annotation types within one service.

The labeling workflow covers more than basic annotation. Active learning can automate parts of data labeling, while annotation consolidation combines work from multiple workers. Verification and adjustment workflows support review before datasets are used for model development. The service also connects with Amazon S3, AWS IAM, Amazon CloudWatch, AWS CloudTrail, Amazon SNS, AWS Lambda, Amazon Cognito, and Amazon Mechanical Turk. That ecosystem fit makes it suitable for teams that need AWS identity, storage, monitoring, audit, notification, serverless, and workforce services around labeling jobs.

According to the published product notes, Ground Truth is paid and usage-based, with charges depending on reviewed dataset objects, workforce choices, and related AWS resources. AWS states that the service is no longer open to new customers, that no new features are planned, and that existing customers can continue using it. Existing AWS customers with established labeling workflows and requirements spanning multiple data formats should consider it when its workforce and review features fit their operations. Organizations starting a new labeling program, or seeking a product with an active feature roadmap and a straightforward public entry price, should consider alternatives instead.

Your product? Our editors can test Amazon SageMaker Ground Truth in depth and publish a review, labelled as paid · from $149/mo →

Amazon SageMaker Ground Truth pricing

Plans Paid No free plan — trial or paid only. Prices checked 21 Sep 2026.
See plans on aws.amazon.com

Amazon SageMaker Ground Truth fact sheet

Free planNo
Paid fromNot verified
Image annotationYes
Text annotationYes
Audio/video annotationYes
Model-assisted labelingYes
Review workflowYes
API or SDK accessYes
DeploymentCloud
DeploymentCloud
PlatformsWeb
Compliance & securityGDPR
SupportDocs
Built forMid-market, Enterprise (editorial estimate)
Integrations8 integrations: Amazon S3, AWS IAM, Amazon CloudWatch, AWS CloudTrail, Amazon SNS, AWS Lambda …
PricingPaid (source)
Websiteaws.amazon.com
Facts checked21 Sep 2026

Amazon SageMaker Ground Truth integrations

Amazon SageMaker Ground Truth lists 8 integrations on its own site.

  • Amazon S3
  • AWS IAM
  • Amazon CloudWatch
  • AWS CloudTrail
  • Amazon SNS
  • AWS Lambda
  • Amazon Cognito
  • Amazon Mechanical Turk

Alternatives to Amazon SageMaker Ground Truth

See all Amazon SageMaker Ground Truth alternatives →

Also Ranked In

Amazon SageMaker Ground Truth is ranked in 3 of our directories.

Used Amazon SageMaker Ground Truth? Be the first to review it

The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Amazon SageMaker Ground Truth for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

Write a reviewTwo minutes · verified accounts only · read by an editor before it appears

Reviews come only from verified accounts. Sign in or create an account first — your e-mail is never shown.

Your rating

0 characters · at least 80, up to 3,000

Posted from your verified account. Reviews appear after an editor reads them, usually within two working days.

Featured on iTechGuides

Featured on iTechGuides — Amazon SageMaker Ground Truth 7.3/10

Amazon SageMaker Ground Truth is listed in our Data Labeling Software directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/amazon-sagemaker-ground-truth/"><img src="https://www.itechguides.com/best/badge/amazon-sagemaker-ground-truth.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update