Which service helps label large datasets using human workers?
Why D is the answer
SageMaker Ground Truth
Ground Truth manages data labeling workflows.
In detail
- Ground Truth manages human labeling at scale.
- AWS closed SageMaker Ground Truth to new customers. Existing customers can keep using it.
- Check labeling quality with samples.
Use case
An illustrative scenario, not a real incident.
A vision team needs thousands of images labeled, and Ground Truth manages the work of human labelers.
See it in different ways
mindmap
root((SageMaker AI))
Data
Data Wrangler
Ground Truth
Clarify
Train
JumpStart
Automatic model tuning
Debugger
Deploy
Pipelines
Model Registry
Operate
Model Monitorflowchart LR S0["Upload data"] --> S1["Create labeling job"] --> S2["Workers label"] --> S3["Labeled dataset"]
Key point: Ground Truth manages labeling.
Why the other options are wrong
- A. SageMaker Clarify
- Clarify checks for bias.
- B. SageMaker Data Wrangler
- Data Wrangler prepares data.
- C. Amazon Comprehend
- Comprehend analyzes text.