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Compare Amazon Rekognition and V7 Darwin 
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At a Glance
Market Segments
Small-Business (40.7% of reviews)
Small-Business (55.8% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon Rekognition
Star Rating
(28)4.3 out of 5
Market Segments
Small-Business (40.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Amazon RekognitionV7 Darwin
Star Rating
(54)4.8 out of 5
Market Segments
Small-Business (55.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Rekognition excels in facial recognition capabilities, with a perfect score of 10.0, making it a preferred choice for applications requiring high accuracy in identifying individuals. In contrast, V7 also offers strong facial analysis features but does not match the same level of performance in this specific area.
- Reviewers mention that V7 shines in ease of use and setup, scoring 9.6 and 9.7 respectively, which makes it more accessible for small businesses and users without extensive technical backgrounds. Amazon Rekognition, while effective, has a slightly lower ease of use score at 8.4, indicating a steeper learning curve.
- G2 users highlight V7's superior customer support, with a score of 9.6, which is often praised for responsiveness and helpfulness. In comparison, Amazon Rekognition's support quality, while still good at 9.1, does not receive the same level of acclaim from users.
- Users on G2 report that V7 offers a free entry-level price, making it an attractive option for startups and small businesses looking to experiment with AI capabilities without financial commitment. Amazon Rekognition does not have a free tier, which may deter budget-conscious users.
- Reviewers mention that both products excel in scalability, each scoring 9.8, indicating that they can effectively handle growing data needs. However, V7's deployment flexibility and integration capabilities are often highlighted as more user-friendly, allowing for smoother scaling in diverse environments.
- Users say that V7's model training efficiency and active learning tools are particularly robust, scoring a perfect 10.0, which is crucial for organizations looking to continuously improve their AI models. Amazon Rekognition, while effective, does not offer the same level of active learning features, which may limit its adaptability over time.
Pricing
Entry-Level Pricing
Amazon Rekognition
No pricing availableV7 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
Amazon Rekognition
No trial information availableV7 Darwin
Free Trial is available
Ratings
Meets Requirements
8.4
21
9.5
38
Ease of Use
8.4
21
9.5
38
Ease of Setup
9.1
16
9.5
17
Ease of Admin
8.6
16
9.4
15
Quality of Support
9.1
16
9.6
36
Has the product been a good partner in doing business?
8.9
15
9.9
14
Product Direction (% positive)
9.4
20
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
Quality
Not enough data
9.4
21
Not enough data
9.5
24
Not enough data
9.4
21
Not enough data
9.3
22
Automation
Not enough data
9.4
16
Not enough data
9.4
14
Image Annotation
Not enough data
9.3
27
Not enough data
9.4
24
Not enough data
9.1
17
Not enough data
9.2
18
Natural Language Annotation
Not enough data
9.1
13
Not enough data
8.5
9
Not enough data
9.0
10
Speech Annotation
Not enough data
7.7
8
Not enough data
7.5
8
Recognition Type
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
Not enough data
Not enough data
Facial Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Labeling
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon Rekognition and V7 Darwin share no categories
Unique Categories
Amazon Rekognition is categorized as Image Recognition
V7 Darwin is categorized as Data Labeling and MLOps Platforms
Reviews
Reviewers' Company Size
Amazon Rekognition
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
17.9%
Retail
10.7%
Security and Investigations
7.1%
Entertainment
7.1%
Computer Software
7.1%
Other
50.0%
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
Amazon Rekognition has no discussions with answers
V7 Darwin has no discussions with answers
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