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Compare Roboflow and V7 Darwin

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At a Glance
Roboflow
Roboflow
Star Rating
(108)4.7 out of 5
Market Segments
Small-Business (76.9% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Free
Browse all 3 pricing plans
V7 Darwin
V7 Darwin
Star Rating
(54)4.8 out of 5
Market Segments
Small-Business (55.8% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Roboflow excels in its Object Detection capabilities, with a score of 9.4, while V7 shines even brighter with a score of 9.6, indicating a slight edge in performance and user satisfaction in this area.
  • Reviewers mention that V7 offers superior Facial Analysis features, achieving a perfect score of 10.0, whereas Roboflow's score of 8.8 suggests it may not meet the same level of user expectations in this specific functionality.
  • G2 users highlight that Roboflow's Model Training efficiency is rated at 8.7, which is notably lower than V7's perfect score of 10.0, indicating that V7 may provide a more streamlined and effective training process for users.
  • Users on G2 report that V7's Text Detection capabilities are significantly better, scoring 9.7 compared to Roboflow's 7.9, suggesting that V7 is more reliable for applications requiring accurate text recognition.
  • Reviewers mention that Roboflow's Data Validation features, while useful, score lower at 9.1 compared to V7's offerings, which may provide more comprehensive tools for ensuring data quality and accuracy.
  • Users say that V7's Generative AI features, including AI Text Generation and AI Text Summarization, are robust and well-received, while Roboflow lacks comparable offerings, making V7 a more attractive option for users interested in advanced AI functionalities.
Pricing
Entry-Level Pricing
Roboflow
Public
Free
Browse all 3 pricing plans
V7 Darwin
Free Plan
Free
Browse all 4 pricing plans
Free Trial
Roboflow
Free Trial is available
V7 Darwin
Free Trial is available
Ratings
Meets Requirements
9.0
104
9.5
38
Ease of Use
9.2
107
9.5
38
Ease of Setup
9.3
105
9.5
17
Ease of Admin
9.3
25
9.4
15
Quality of Support
8.7
98
9.6
36
Has the product been a good partner in doing business?
9.5
25
9.9
14
Product Direction (% positive)
10.0
103
9.6
32
Features by Category
Not enough data
9.6
9
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
8.3
61
9.0
27
Quality
8.9
59
9.4
21
8.6
59
9.5
24
9.0
59
9.4
21
9.1
60
9.3
22
Automation
8.4
60
9.4
16
8.3
59
9.4
14
Image Annotation
9.1
60
9.3
27
9.1
60
9.4
24
8.4
59
9.1
17
8.6
59
9.2
18
Natural Language Annotation
8.1
54
9.1
13
7.5
53
8.5
9
8.2
53
9.0
10
Speech Annotation
6.8
50
7.7
8
6.8
50
7.5
8
8.3
94
Not enough data
Recognition Type
7.2
76
Not enough data
9.2
86
Not enough data
8.3
78
Not enough data
7.9
76
Not enough data
7.0
73
Not enough data
8.1
78
Not enough data
7.1
73
Not enough data
8.3
76
Not enough data
Facial Recognition
8.1
73
Not enough data
7.7
74
Not enough data
Labeling
9.2
89
Not enough data
9.4
87
Not enough data
9.4
90
Not enough data
Deployment
8.7
87
Not enough data
Not enough data
Not enough data
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
Categories
Categories
Shared Categories
Roboflow
Roboflow
V7 Darwin
V7 Darwin
Roboflow and V7 Darwin are categorized as Data Labeling
Unique Categories
Roboflow
Roboflow is categorized as Image Recognition and Active Learning Tools
V7 Darwin
V7 Darwin is categorized as MLOps Platforms
Reviews
Reviewers' Company Size
Roboflow
Roboflow
Small-Business(50 or fewer emp.)
76.9%
Mid-Market(51-1000 emp.)
13.9%
Enterprise(> 1000 emp.)
9.3%
V7 Darwin
V7 Darwin
Small-Business(50 or fewer emp.)
55.8%
Mid-Market(51-1000 emp.)
36.5%
Enterprise(> 1000 emp.)
7.7%
Reviewers' Industry
Roboflow
Roboflow
Computer Software
14.8%
Research
9.3%
Manufacturing
8.3%
Higher Education
7.4%
Information Technology and Services
4.6%
Other
55.6%
V7 Darwin
V7 Darwin
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
Roboflow
Roboflow Alternatives
Prolific
Prolific
Add Prolific
SuperAnnotate
SuperAnnotate
Add SuperAnnotate
Dataloop
Dataloop
Add Dataloop
Encord
Encord
Add Encord
V7 Darwin
V7 Darwin Alternatives
SuperAnnotate
SuperAnnotate
Add SuperAnnotate
Dataloop
Dataloop
Add Dataloop
Encord
Encord
Add Encord
Labelbox
Labelbox
Add Labelbox
Discussions
Roboflow
Roboflow Discussions
Monty the Mongoose crying
Roboflow has no discussions with answers
V7 Darwin
V7 Darwin Discussions
Monty the Mongoose crying
V7 Darwin has no discussions with answers