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Compare Amazon Sagemaker Ground Truth and Labelbox 
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At a Glance
Market Segments
Small-Business (36.8% of reviews)
Small-Business (46.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Sagemaker Ground Truth
Star Rating
(19)4.1 out of 5
Market Segments
Small-Business (36.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Amazon Sagemaker Ground TruthLabelbox
Star Rating
(47)4.5 out of 5
Market Segments
Small-Business (46.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about LabelboxSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Labelbox excels in labeler quality with a score of 9.3, indicating a high level of satisfaction with the accuracy and reliability of the labeling process. In contrast, Amazon Sagemaker Ground Truth, while still effective, has not received the same level of acclaim, leading to a lower perception of labeler quality.
- Reviewers mention that Labelbox offers superior ease of setup with a score of 9.0, making it more user-friendly for new users. On the other hand, Amazon Sagemaker Ground Truth has a lower score of 7.3, suggesting that users may face challenges during the initial setup phase.
- G2 users highlight Labelbox's strong performance in data quality with a score of 9.3, which is crucial for ensuring the integrity of machine learning models. In comparison, Amazon Sagemaker Ground Truth does not match this level of quality, which could impact the overall effectiveness of the models trained using its platform.
- Users on G2 report that Labelbox's human-in-the-loop feature scores 8.9, providing a robust mechanism for incorporating human feedback into the labeling process. Conversely, Amazon Sagemaker Ground Truth's implementation of this feature is perceived as less effective, which may hinder the iterative improvement of model accuracy.
- Reviewers mention that Labelbox shines in automation capabilities, particularly with its machine learning pre-labeling feature scoring 8.6, which streamlines the labeling process. In contrast, Amazon Sagemaker Ground Truth's automation features, while present, do not receive the same level of praise, indicating potential areas for improvement.
- Users say that Labelbox's collaboration tools are highly rated, facilitating teamwork and communication among users, which is essential for large projects. Amazon Sagemaker Ground Truth, while functional, does not provide the same level of collaborative features, which may limit its effectiveness in team environments.
Pricing
Entry-Level Pricing
Amazon Sagemaker Ground Truth
No pricing availableLabelbox
No pricing availableFree Trial
Amazon Sagemaker Ground Truth
No trial information availableLabelbox
Free Trial is available
Ratings
Meets Requirements
8.2
13
9.0
41
Ease of Use
8.3
13
9.0
41
Ease of Setup
7.3
10
9.0
21
Ease of Admin
8.2
11
9.0
5
Quality of Support
9.6
13
9.0
39
Has the product been a good partner in doing business?
8.5
10
8.7
5
Product Direction (% positive)
8.9
11
9.0
35
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
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
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
Not enough data
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
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Not enough data
Machine/Deep Learning Services
Not enough data
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Not enough data
Deployment
Not enough data
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Not enough data
Not enough data
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Generative AI
Not enough data
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Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Quality
Not enough data
9.1
27
Not enough data
8.9
27
Not enough data
9.1
28
Not enough data
8.6
26
Automation
Not enough data
8.5
25
Not enough data
8.3
24
Image Annotation
Not enough data
8.7
26
Not enough data
8.5
25
Not enough data
8.7
24
Not enough data
8.8
24
Natural Language Annotation
Not enough data
8.9
23
Not enough data
8.3
22
Not enough data
8.7
20
Speech Annotation
Not enough data
8.3
19
Not enough data
7.8
19
Model Training & Optimization - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management & Annotation - Active Learning Tools
Not enough data
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Not enough data
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Not enough data
Not enough data
Not enough data
Model Performance & Analysis - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon Sagemaker Ground Truth and Labelbox are categorized as Data Labeling
Unique Categories
Amazon Sagemaker Ground Truth has no unique categories
Labelbox is categorized as Active Learning Tools, MLOps Platforms, and Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Amazon Sagemaker Ground Truth
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Labelbox
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
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%
Computer Software
31.9%
Information Technology and Services
14.9%
Research
4.3%
Hospitality
4.3%
E-Learning
4.3%
Other
40.4%
Discussions
Amazon Sagemaker Ground Truth has no discussions with answers
How do I download Labelbox?
2 Comments
NB
Hi! You can try it for free here https://app.labelbox.com/signup. Read more
Labelbox has no more discussions with answers
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