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Compare SuperAnnotate and V7 Darwin 
At a Glance
Market Segments
Small-Business (61.6% of reviews)
Small-Business (56.9% of reviews)
Entry-Level Pricing
Free Trial
Free
SuperAnnotate
Star Rating
(163)4.9 out of 5
Market Segments
Small-Business (61.6% of reviews)
Entry-Level Pricing
Free Trial
Browse all 3 pricing plansV7 Darwin
Star Rating
(53)4.8 out of 5
Market Segments
Small-Business (56.9% of reviews)
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that V7 excels in Labeler Quality with a score of 9.4, while SuperAnnotate shines even brighter with a score of 9.8, indicating that SuperAnnotate provides a more reliable labeling experience.
- Reviewers mention that SuperAnnotate's Quality of Support is rated at 9.9, compared to V7's 9.6, suggesting that users find SuperAnnotate's customer service to be more responsive and helpful.
- G2 users highlight that SuperAnnotate offers superior Ease of Deployment with a perfect score of 10.0, while V7 scores 9.0, indicating that users find SuperAnnotate easier to set up and integrate into their workflows.
- Users on G2 report that SuperAnnotate's Scalability is rated at 10.0, compared to V7's 9.8, suggesting that SuperAnnotate is better suited for growing businesses that need to scale their operations efficiently.
- Reviewers say that SuperAnnotate outperforms V7 in Object Detection, scoring 10.0 versus V7's 9.6, which indicates that users find SuperAnnotate's capabilities in this area to be more advanced and effective.
- Users report that V7 has a strong Human-in-the-Loop feature with a score of 9.4, but SuperAnnotate surpasses it with a score of 9.7, suggesting that users appreciate the enhanced collaborative capabilities in SuperAnnotate.
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Pricing
Entry-Level Pricing
SuperAnnotate
Starter
Free Trial
Ideal for getting started and managing small project
- Fully customizable multimodal editor
- Image, video, text, and audio editors
- Data curation and exploration
V7 Darwin
Free Plan
Free
Try out the core functionalities and set up your workflow for free.
- 1 Workspace
- 10 User Licenses
- 3 Integrated Models
Free Trial
SuperAnnotate
Free Trial is available
V7 Darwin
Free Trial is available
Ratings
Meets Requirements
9.6
105
9.5
37
Ease of Use
9.6
110
9.6
37
Ease of Setup
9.5
69
9.7
16
Ease of Admin
9.7
43
9.4
15
Quality of Support
9.8
107
9.6
35
Has the product been a good partner in doing business?
9.7
44
9.9
14
Product Direction (% positive)
9.5
91
9.6
31
Features by Category
Deployment
10.0
7
Not enough data
9.8
8
9.4
6
10.0
6
9.7
5
10.0
7
9.0
7
9.8
7
9.8
7
Deployment
9.6
9
Not enough data
9.8
9
9.3
5
10.0
9
9.7
6
9.8
9
9.2
6
9.6
9
9.8
7
Management
9.7
6
9.3
5
9.5
7
10.0
6
9.7
5
Not enough data
10.0
5
Not enough data
Operations
9.4
6
9.7
6
9.7
5
Not enough data
9.3
5
10.0
6
Management
10.0
5
10.0
5
9.7
5
9.7
5
Not enough data
9.3
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Quality
9.7
70
9.4
20
9.6
68
9.5
23
9.6
69
9.3
20
9.6
63
9.4
21
Automation
9.3
52
9.3
15
9.4
42
9.5
13
Image Annotation
9.4
65
9.4
26
9.4
62
9.6
23
9.2
54
9.1
16
9.5
56
9.1
17
Natural Language Annotation
9.3
41
9.2
12
9.1
34
9.0
8
9.6
38
9.3
9
Speech Annotation
9.1
35
7.6
7
9.0
33
8.1
7
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
9.8
9
Not enough data
9.8
9
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
9.8
8
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
9.8
9
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
9.8
9
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
9.4
9
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
9.8
7
Not enough data
9.8
9
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
9.6
9
Not enough data
9.8
8
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
9.8
8
Not enough data
9.8
7
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.8
7
Not enough data
9.8
7
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
9.8
8
Not enough data
Categories
Categories
Shared Categories
SuperAnnotate and V7 Darwin are categorized as Data Labeling and MLOps Platforms
Unique Categories
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps)
V7 Darwin has no unique categories
Reviews
Reviewers' Company Size
SuperAnnotate
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
V7 Darwin
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
23.8%
Computer Software
13.9%
Research
7.3%
Higher Education
5.3%
Health, Wellness and Fitness
4.0%
Other
45.7%
Information Technology and Services
25.5%
Computer Software
19.6%
Research
7.8%
Hospital & Health Care
5.9%
Industrial Automation
3.9%
Other
37.3%
Most Helpful Reviews
SuperAnnotate
Most Helpful Favorable Review
Clement O.
Verified User in Information Technology and Services
The platform is easy to use with a clean, intuitive interface.
Most Helpful Critical Review
V7 Darwin
Most Helpful Favorable Review
Timothy M.
Verified User in Research
I am using v7 labs AI tool for my research on Computer Vision. Especially for annotating data and training CV models. I must say that V7 is the most innovative and amazing tool in this category. I am fascinated by this platform's features, from annotating...
Most Helpful Critical Review
Lixuan S.
Verified User in Alternative Medicine
Not much complaint about V7. Still in the piloting process so support has been great.
Clement O.
Verified User in Information Technology and Services
The platform is easy to use with a clean, intuitive interface.
Timothy M.
Verified User in Research
I am using v7 labs AI tool for my research on Computer Vision. Especially for annotating data and training CV models. I must say that V7 is the most innovative and amazing tool in this category. I am fascinated by this platform's features, from annotating...
Lixuan S.
Verified User in Alternative Medicine
Not much complaint about V7. Still in the piloting process so support has been great.
Alternatives
Discussions
SuperAnnotate is a platform designed for data annotation, management, and collaboration, often used in machine learning and artificial intelligence projects to label and organize data efficiently.
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
V7 Darwin has no discussions with answers
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