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Compare Labelbox and SuperAnnotate 
At a Glance
Market Segments
Small-Business (46.8% of reviews)
Small-Business (62.1% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Labelbox
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 LabelboxSuperAnnotate
Star Rating
(222)4.9 out of 5
Market Segments
Small-Business (62.1% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SuperAnnotate excels in user satisfaction, boasting a higher overall rating compared to Labelbox. Users appreciate its user-friendly interface and the ability to efficiently manage annotation projects, making it a preferred choice for many in the data labeling space.
- According to verified reviews, Labelbox is praised for its intuitive setup process, with users highlighting how easy it is to get started without any issues. This simplicity is particularly beneficial for teams looking to quickly implement a solution for their AI/ML projects.
- Reviewers mention that SuperAnnotate's built-in quality assurance tools significantly enhance the accuracy of annotations. Users find that these features help maintain high standards in their projects, which is crucial for machine learning applications.
- Users say that Labelbox provides a clean and customizable interface for annotating various data formats, which is especially useful for academic projects. The ability to collaborate in real-time is also a standout feature that enhances team productivity.
- G2 reviewers highlight that SuperAnnotate's organization and collaboration features make it easier for teams to work together. Users appreciate how the platform keeps everything structured, which is vital for managing complex annotation tasks across different data types.
- According to recent user feedback, while Labelbox has a solid performance in ease of use, SuperAnnotate outshines it in overall support quality. Users report that SuperAnnotate's customer service is responsive and helpful, contributing to a better overall experience.
Pricing
Entry-Level Pricing
Labelbox
No pricing availableSuperAnnotate
Pro
Contact Us
Get ready to scale your most sophisticated AI projects and MLOps needs
- Fully customizable multimodal editor
- Image, video, text, and audio editors
- Data curation and exploration
Free Trial
Labelbox
Free Trial is available
SuperAnnotate
Free Trial is available
Ratings
Meets Requirements
9.0
41
9.6
131
Ease of Use
9.0
41
9.6
136
Ease of Setup
9.0
21
9.6
95
Ease of Admin
9.0
5
9.6
51
Quality of Support
9.0
39
9.6
132
Has the product been a good partner in doing business?
8.7
5
9.7
52
Product Direction (% positive)
9.0
35
9.6
117
Features by Category
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
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Not enough data
Not enough data
Not enough data
Quality
9.1
27
9.7
83
8.9
27
9.6
90
9.1
28
9.7
81
8.6
26
9.7
81
Automation
8.5
25
9.3
64
8.3
24
9.5
51
Image Annotation
8.7
26
9.4
76
8.5
25
9.4
72
8.7
24
9.3
64
8.8
24
9.5
65
Natural Language Annotation
8.9
23
9.4
51
8.3
22
9.3
43
8.7
20
9.6
47
Speech Annotation
8.3
19
9.2
44
7.8
19
9.1
42
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
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
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
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.5
17
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
16
Not enough data
9.7
15
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
15
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
15
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.4
14
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Not enough data
9.7
15
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Not enough data
9.6
13
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.5
13
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Categories
Categories
Shared Categories
Labelbox and SuperAnnotate are categorized as Active Learning Tools, Data Labeling, and MLOps Platforms
Unique Categories
Labelbox is categorized as Data Science and Machine Learning Platforms
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Labelbox
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SuperAnnotate
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
Computer Software
31.9%
Information Technology and Services
14.9%
Research
4.3%
Hospitality
4.3%
E-Learning
4.3%
Other
40.4%
Information Technology and Services
24.3%
Computer Software
16.4%
Research
6.2%
Higher Education
4.5%
Health, Wellness and Fitness
3.4%
Other
45.2%
Discussions
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
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
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
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
SuperAnnotate has no more discussions with answers
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