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At a Glance
Market Segments
Small-Business (46.8% of reviews)
Small-Business (63.5% 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)
Entry-Level Pricing
No pricing available
Learn more about LabelboxSuperAnnotate
Star Rating
(172)4.9 out of 5
Market Segments
Small-Business (63.5% of reviews)
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Labelbox excels in its Ease of Setup with a score of 9.0, making it user-friendly for small businesses. In contrast, SuperAnnotate shines with a higher score of 9.6, indicating a more streamlined setup process that users find even more intuitive.
- Reviewers mention that SuperAnnotate offers superior Quality of Support with a score of 9.9, highlighting its responsive customer service and comprehensive resources. Labelbox, while still strong at 9.1, does not match the level of support that SuperAnnotate provides.
- G2 users indicate that SuperAnnotate's Data Quality is exceptional, scoring 9.8, which is attributed to its robust data validation features. Labelbox, with a score of 9.3, is effective but lacks some of the advanced data quality tools that SuperAnnotate offers.
- Users on G2 report that SuperAnnotate's Automation features, particularly in Automatic Routing of Labeling (9.6), significantly enhance workflow efficiency. Labelbox's score of 8.3 suggests it may require more manual intervention, which can slow down processes.
- Reviewers mention that SuperAnnotate's Image Segmentation capabilities are rated at 9.7, providing advanced tools for detailed image analysis. Labelbox, with a score of 8.9, offers solid segmentation features but lacks the depth and precision that SuperAnnotate users appreciate.
- Users say that SuperAnnotate's Model Training Efficiency is a standout feature, allowing for quicker iterations and better performance insights. Labelbox, while effective, does not provide the same level of efficiency in model training, which can impact project timelines.
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
113
Ease of Use
9.0
41
9.6
118
Ease of Setup
9.0
21
9.6
78
Ease of Admin
9.0
5
9.6
46
Quality of Support
9.0
39
9.7
115
Has the product been a good partner in doing business?
8.7
5
9.7
47
Product Direction (% positive)
9.0
35
9.5
99
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
76
8.9
27
9.6
74
9.1
28
9.7
74
8.6
26
9.7
68
Automation
8.5
25
9.3
57
8.3
24
9.5
47
Image Annotation
8.7
26
9.3
70
8.5
25
9.4
67
8.7
24
9.3
59
8.8
24
9.5
61
Natural Language Annotation
8.9
23
9.3
46
8.3
22
9.2
39
8.7
20
9.6
43
Speech Annotation
8.3
19
9.2
40
7.8
19
9.0
38
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
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
Labelbox and SuperAnnotate are categorized as Data Labeling and MLOps Platforms
Unique Categories
Labelbox is categorized as Active Learning Tools and 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
22.6%
Computer Software
16.4%
Research
6.9%
Higher Education
5.0%
Health, Wellness and Fitness
3.8%
Other
45.3%
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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