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Compare Amazon Sagemaker Ground Truth and SuperAnnotate

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At a Glance
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth
Star Rating
(19)4.1 out of 5
Market Segments
Small-Business (36.8% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Amazon Sagemaker Ground Truth
SuperAnnotate
SuperAnnotate
Star Rating
(173)4.9 out of 5
Market Segments
Small-Business (63.5% of reviews)
Information
Entry-Level Pricing
Contact Us
Browse all 3 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Amazon Sagemaker Ground Truth excels in its Machine Learning Pre-Labeling feature, which allows for efficient data labeling, while SuperAnnotate's Automatic Routing of Labeling is praised for streamlining the annotation process, making it easier for teams to manage large datasets.
  • Reviewers mention that SuperAnnotate's Image Segmentation and Object Detection capabilities are highly rated, with users appreciating the precision and ease of use, whereas Amazon Sagemaker Ground Truth offers robust Human-in-the-Loop functionality that enhances the quality of labeled data.
  • G2 users highlight that SuperAnnotate's Collaboration tools are superior, allowing teams to work together seamlessly, while Amazon Sagemaker Ground Truth's Quality of Support is noted as exceptional, providing users with timely assistance and resources.
  • Users on G2 report that SuperAnnotate's Task Quality and Data Quality ratings are impressive, indicating a strong focus on delivering high-quality annotations, while Amazon Sagemaker Ground Truth is recognized for its Scalability, making it suitable for larger projects.
  • Reviewers say that SuperAnnotate's Ease of Use and Ease of Setup scores are significantly higher, suggesting that it is more user-friendly for newcomers, whereas Amazon Sagemaker Ground Truth, while powerful, may require a steeper learning curve.
  • Users report that Amazon Sagemaker Ground Truth's Product Direction is viewed positively, indicating a commitment to continuous improvement, while SuperAnnotate's Versioning capabilities are highlighted as a key feature that helps teams manage their projects effectively.
Pricing
Entry-Level Pricing
Amazon Sagemaker Ground Truth
No pricing available
SuperAnnotate
Pro
Contact Us
Browse all 3 pricing plans
Free Trial
Amazon Sagemaker Ground Truth
No trial information available
SuperAnnotate
Free Trial is available
Ratings
Meets Requirements
8.2
13
9.6
113
Ease of Use
8.3
13
9.6
118
Ease of Setup
7.3
10
9.6
78
Ease of Admin
8.2
11
9.6
46
Quality of Support
9.6
13
9.7
115
Has the product been a good partner in doing business?
8.5
10
9.7
47
Product Direction (% positive)
8.9
11
9.5
99
Features by Category
Not enough data
9.4
16
Deployment
Not enough data
9.8
10
Not enough data
9.2
11
Not enough data
9.3
9
Not enough data
9.7
10
Not enough data
9.5
10
Deployment
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.5
10
Not enough data
9.4
11
Not enough data
9.3
12
Management
Not enough data
9.3
9
Not enough data
9.0
10
Not enough data
9.2
8
Not enough data
9.6
8
Operations
Not enough data
9.3
9
Not enough data
9.2
8
Not enough data
9.2
8
Management
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.3
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.4
89
Quality
Not enough data
9.7
76
Not enough data
9.6
74
Not enough data
9.7
74
Not enough data
9.7
68
Automation
Not enough data
9.3
57
Not enough data
9.5
47
Image Annotation
Not enough data
9.3
70
Not enough data
9.4
67
Not enough data
9.3
59
Not enough data
9.5
61
Natural Language Annotation
Not enough data
9.3
46
Not enough data
9.2
39
Not enough data
9.6
43
Speech Annotation
Not enough data
9.2
40
Not enough data
9.0
38
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.5
13
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Not enough data
9.6
13
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
13
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
11
Not enough data
9.4
13
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Not enough data
9.6
12
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Not enough data
9.5
11
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
11
Not enough data
9.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Categories
Categories
Shared Categories
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth
SuperAnnotate
SuperAnnotate
Amazon Sagemaker Ground Truth and SuperAnnotate are categorized as Data Labeling
Unique Categories
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth has no unique categories
Reviews
Reviewers' Company Size
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth
Small-Business(50 or fewer emp.)
36.8%
Mid-Market(51-1000 emp.)
26.3%
Enterprise(> 1000 emp.)
36.8%
SuperAnnotate
SuperAnnotate
Small-Business(50 or fewer emp.)
63.5%
Mid-Market(51-1000 emp.)
25.8%
Enterprise(> 1000 emp.)
10.7%
Reviewers' Industry
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth
Information Technology and Services
26.3%
Computer Software
21.1%
Education Management
10.5%
Medical Practice
5.3%
Market Research
5.3%
Other
31.6%
SuperAnnotate
SuperAnnotate
Information Technology and Services
22.6%
Computer Software
16.4%
Research
6.9%
Higher Education
5.0%
Health, Wellness and Fitness
3.8%
Other
45.3%
Alternatives
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth Alternatives
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V7 Darwin
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SuperAnnotate
SuperAnnotate Alternatives
V7 Darwin
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Discussions
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth Discussions
Monty the Mongoose crying
Amazon Sagemaker Ground Truth has no discussions with answers
SuperAnnotate
SuperAnnotate Discussions
What is SuperAnnotate?
1 Comment
Mikayel M.
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
Staci T.
ST
I have been invited to skill test for a few projects with superannotate over the past year or so, each resulting in the platform being buggy and not allowing...Read more
Monty the Mongoose crying
SuperAnnotate has no more discussions with answers