A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations. Which solution will meet these requirements?
A.
Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
B.
Data augmentation by using an Amazon Bedrock knowledge base
C.
Image recognition by using Amazon Rekognition
D.
Data summarization by using Amazon QuickSight Q
A: Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
Explanation:
Amazon SageMaker Ground Truth Plus is designed for creating high-quality labeled datasets with human-in-the-loop validation to ensure accuracy. This solution helps minimize the risk of incorrect annotations by involving human reviewers to verify and correct the model's predictions. It is particularly useful for scenarios requiring precision, such as generating images with specific requirements like protective eyewear.
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
Moon
1 week, 3 days agojove
2 months agoLR2023
2 months ago