# Amazon SageMaker Ground Truth
> Amazon SageMaker Ground Truth is a managed data labeling service that facilitates the creation of highly accurate training datasets for machine learning. It combines automated labeling using machine learning models with a human workforce to annotate text, images, and video.
- URL: https://optimly.ai/brand/amazon-sagemaker-ground-truth
- Slug: amazon-sagemaker-ground-truth
- BAI Score: 92/100
- Archetype: Challenger
- Category: Cloud Computing / Artificial Intelligence
- Last Analyzed: April 10, 2026
## Competitors
- Labelbox (https://optimly.ai/brand/labelbox)
- Scale AI (https://optimly.ai/brand/scale-ai)
## Also Referenced By
- Scale Ai Remotasks Labelbox (https://optimly.ai/brand/scale-ai-remotasks-labelbox)
- Figure Eight (https://optimly.ai/brand/figure-eight)
- Snorkel Ai (https://optimly.ai/brand/snorkel-ai)
## Buyer Intent Signals
Problems: In-house Manual Labeling: Internal operations teams manually labeling images, text, or video using basic spreadsheets or open-source local scripts. | Data Labeling Agencies: Contracting specialized data labeling firms or BPO (Business Process Outsourcing) companies to handle data annotation.
Solutions: AWS data labeling service | how to label images for machine learning on AWS | managed data annotation platform | best data labeling tool for small startups | human in the loop machine learning services | Open-Source Annotation Tools: Using open-source tools like CVAT, LabelImg, or Label Studio to manage the annotation process without a managed service.
Comparisons: Sagemaker Ground Truth vs Labelbox