Amazon SageMaker Ground Truth Plus is a managed data labeling service that includes human-in-the-loop (HITL) validation. This solution ensures high accuracy by involving human reviewers to validate the annotations and reduce the risk of incorrect annotations.
Amazon SageMaker Ground Truth Plus:
It allows for the creation of high-quality training datasets with human oversight, which minimizes errors in labeling and increases accuracy.
Human-in-the-loop workflows help verify the correctness of annotations, ensuring that generated images for protective eyewear meet high-quality standards.
Why Option A is Correct:
High Accuracy: Human-in-the-loop validation provides the ability to catch and correct errors in annotations, ensuring high-quality data.
Minimized Risk of Incorrect Annotations: Human review adds a layer of quality assurance, which is especially important in use cases like generating precise images for protective eyewear.
Why Other Options are Incorrect:
B. Amazon Bedrock: Does not offer a knowledge base for data augmentation; it focuses on running foundation models.
C. Amazon Rekognition: Provides image recognition and analysis, not a solution for minimizing annotation errors.
D. Amazon QuickSight: A data visualization tool, not relevant to image annotation or generation tasks.
Thus, A is the correct answer for generating high-accuracy images with minimized annotation risks.
