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
(152)4.9 out of 5
Market Segments
Small-Business (62.1% of reviews)
Information
Entry-Level Pricing
Free
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
Free Startup Plan
Free
Browse all 3 pricing plans
Free Trial
Amazon Sagemaker Ground Truth
No trial information available
SuperAnnotate
No trial information available
Ratings
Meets Requirements
8.2
13
9.6
94
Ease of Use
8.3
13
9.6
99
Ease of Setup
7.3
10
9.5
58
Ease of Admin
8.2
11
9.7
40
Quality of Support
9.6
13
9.8
96
Has the product been a good partner in doing business?
8.5
10
9.8
41
Product Direction (% positive)
8.9
11
9.4
82
Features by Category
Not enough data
10.0
11
Deployment
Not enough data
10.0
5
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
10.0
5
Not enough data
10.0
5
Deployment
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Management
Not enough data
Not enough data
Not enough data
10.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
9.6
72
Quality
Not enough data
9.8
61
Not enough data
9.7
59
Not enough data
9.8
62
Not enough data
9.7
54
Automation
Not enough data
9.3
43
Not enough data
9.5
33
Image Annotation
Not enough data
9.6
56
Not enough data
9.6
54
Not enough data
9.5
45
Not enough data
9.5
47
Natural Language Annotation
Not enough data
9.6
32
Not enough data
9.5
25
Not enough data
9.7
29
Speech Annotation
Not enough data
9.5
26
Not enough data
9.4
25
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
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.)
62.1%
Mid-Market(51-1000 emp.)
26.4%
Enterprise(> 1000 emp.)
11.4%
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
22.9%
Computer Software
11.4%
Research
7.9%
Higher Education
5.7%
Health, Wellness and Fitness
4.3%
Other
47.9%
Most Helpful Reviews
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth
Most Helpful Favorable Review
Verified User in Information Technology and Services
GI
Verified User in Information Technology and Services

A very good tool for machine learning in AWS. A lot of technical stuff is handled by the platform itself. This is a boon especially in situations where you need to perform hyperparameter tuning. It does a lot of stuff for you so your work is made easier!

Most Helpful Critical Review
Verified User
G
Verified User in Information Technology and Services

It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be...

SuperAnnotate
SuperAnnotate
Most Helpful Favorable Review
Verified User
G
Verified User in Venture Capital & Private Equity

I was exploring a few annotation tools to select for our project and SuperAnnotate was the best choice in terms of the introduction and onboarding. We were trained and ready to kickstart the project in no time.

Most Helpful Critical Review
Alternatives
Amazon Sagemaker Ground Truth
Amazon Sagemaker Ground Truth Alternatives
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SuperAnnotate
SuperAnnotate Alternatives
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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
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
Monty the Mongoose crying
SuperAnnotate has no more discussions with answers