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Compare CVAT.ai and SuperAnnotate 
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At a Glance
Market Segments
Small-Business (55.6% of reviews)
Small-Business (63.5% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
CVAT.ai
Star Rating
(18)4.6 out of 5
Market Segments
Small-Business (55.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about CVAT.aiSuperAnnotate
Star Rating
(174)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 SuperAnnotate excels in Labeler Quality with a score of 9.8, while CVAT.ai has a lower score of 9.4. Reviewers mention that SuperAnnotate's intuitive interface significantly enhances the labeling process, making it easier for teams to achieve high-quality annotations.
- Reviewers mention that SuperAnnotate offers superior Quality of Support with a score of 9.9 compared to CVAT.ai's 9.0. Users on G2 appreciate the responsive customer service and extensive documentation provided by SuperAnnotate, which helps resolve issues quickly.
- Users say that SuperAnnotate shines in Ease of Use with a score of 9.6, while CVAT.ai scores 8.9. Reviewers highlight that SuperAnnotate's user-friendly design allows new users to get up to speed quickly, reducing the learning curve associated with complex annotation tasks.
- G2 users report that SuperAnnotate's Human-in-the-Loop feature scores 9.7, outperforming CVAT.ai's 9.0. Reviewers mention that this feature enhances the annotation process by allowing human oversight, which is crucial for maintaining data accuracy.
- Users on G2 highlight SuperAnnotate's Scalability with a perfect score of 10.0, indicating that it can handle large datasets efficiently. In contrast, CVAT.ai's scalability is not as robust, which may limit its effectiveness for larger projects.
- Reviewers mention that SuperAnnotate's Automatic Routing of Labeling feature, scoring 9.6, is a standout, while CVAT.ai's score of 8.5 indicates room for improvement. Users appreciate how this feature streamlines the labeling process by intelligently assigning tasks to the right team members.
Pricing
Entry-Level Pricing
CVAT.ai
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
CVAT.ai
No trial information availableSuperAnnotate
Free Trial is available
Ratings
Meets Requirements
9.4
17
9.6
113
Ease of Use
8.9
18
9.6
118
Ease of Setup
9.0
15
9.6
78
Ease of Admin
Not enough data
9.6
46
Quality of Support
9.2
16
9.7
115
Has the product been a good partner in doing business?
Not enough data
9.7
47
Product Direction (% positive)
10.0
18
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
Quality
9.4
14
9.7
76
9.2
15
9.6
74
9.0
15
9.7
74
9.0
15
9.7
68
Automation
8.8
15
9.3
57
8.5
14
9.5
47
Image Annotation
9.2
15
9.3
70
9.0
15
9.4
67
8.6
15
9.3
59
8.7
14
9.5
61
Natural Language Annotation
Feature Not Available
9.3
46
Feature Not Available
9.2
39
Feature Not Available
9.6
43
Speech Annotation
7.4
9
9.2
40
7.4
9
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
CVAT.ai and SuperAnnotate are categorized as Data Labeling
Unique Categories
CVAT.ai has no unique categories
SuperAnnotate is categorized as MLOps Platforms and Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
CVAT.ai
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
Information Technology and Services
16.7%
Retail
11.1%
Research
11.1%
Computer Games
11.1%
Telecommunications
5.6%
Other
44.4%
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
CVAT.ai has no 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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