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Compare Labellerr and V7 Darwin 
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At a Glance
Market Segments
Small-Business (57.1% of reviews)
Small-Business (55.8% of reviews)
Entry-Level Pricing
Contact Us Per Month
Free
Labellerr
Star Rating
(21)4.8 out of 5
Market Segments
Small-Business (57.1% of reviews)
Entry-Level Pricing
Contact Us Per Month
Browse all 3 pricing plansV7 Darwin
Star Rating
(54)4.8 out of 5
Market Segments
Small-Business (55.8% of reviews)
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Labellerr excels in Labeler Quality with a score of 9.9, while V7's score of 9.4 indicates it may not match the same level of precision in labeling tasks. Reviewers mention that Labellerr's labeling accuracy significantly enhances their data quality.
- Reviewers mention that V7 offers a Free Entry Level Price, making it more accessible for small businesses, whereas Labellerr requires potential users to contact for pricing, which can be a barrier for some.
- G2 users highlight Labellerr's superior Human-in-the-Loop feature with a score of 9.3 compared to V7's 9.4, indicating that while both products support human oversight, Labellerr's implementation is perceived as more effective in ensuring data accuracy.
- Users on G2 report that V7 shines in Ease of Setup with a score of 9.7, slightly higher than Labellerr's 9.5, suggesting that V7 may provide a more user-friendly onboarding experience for new users.
- Reviewers mention that Labellerr's Model Training Efficiency is rated at 10.0, indicating exceptional performance in training models, while V7's capabilities in this area are not as highly rated, suggesting Labellerr may offer more robust tools for machine learning tasks.
- Users say that V7's Collaboration features are rated at 10.0, which is a significant advantage for teams working together on projects, while Labellerr's collaboration tools, although effective, do not reach the same level of user satisfaction.
Pricing
Entry-Level Pricing
Labellerr
Enterprise Plan
Contact Us
Per Month
- Seat Available: Unlimited
- Data Credit: Unlimited
- Datatype support: jpg, png, wav, mp4, pdf, txt, dicom, lidar, nifti
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
Labellerr
Free Trial is available
V7 Darwin
Free Trial is available
Ratings
Meets Requirements
9.4
18
9.5
38
Ease of Use
9.6
18
9.5
38
Ease of Setup
9.2
8
9.5
17
Ease of Admin
9.0
8
9.4
15
Quality of Support
9.7
18
9.6
36
Has the product been a good partner in doing business?
9.8
8
9.9
14
Product Direction (% positive)
10.0
18
9.6
32
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
9.4
6
Not enough data
9.7
5
Not enough data
9.0
7
Not enough data
9.8
7
Deployment
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
9.7
6
Not enough data
9.2
6
Not enough data
9.8
7
Management
Not enough data
9.3
5
Not enough data
10.0
6
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
10.0
6
Management
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
9.3
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
9.9
12
9.4
21
9.7
12
9.5
24
9.9
13
9.4
21
9.3
14
9.3
22
Automation
9.6
13
9.4
16
9.5
13
9.4
14
Image Annotation
9.6
13
9.3
27
9.7
13
9.4
24
9.7
13
9.1
17
9.9
13
9.2
18
Natural Language Annotation
9.9
12
9.1
13
9.6
13
8.5
9
9.8
11
9.0
10
Speech Annotation
9.9
12
7.7
8
9.6
12
7.5
8
Categories
Categories
Shared Categories
Labellerr and V7 Darwin are categorized as Data Labeling and MLOps Platforms
Unique Categories
Labellerr is categorized as Data Science and Machine Learning Platforms
V7 Darwin has no unique categories
Reviews
Reviewers' Company Size
Labellerr
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
33.3%
Computer Software
14.3%
Hospital & Health Care
9.5%
Public Relations and Communications
4.8%
Marketing and Advertising
4.8%
Other
33.3%
Information Technology and Services
25.0%
Computer Software
19.2%
Research
7.7%
Hospital & Health Care
5.8%
Industrial Automation
3.8%
Other
38.5%
Alternatives
Discussions
Labellerr has no discussions with answers
V7 Darwin has no discussions with answers
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