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Compare Encord and V7 Darwin 
At a Glance
Market Segments
Small-Business (51.7% of reviews)
Small-Business (56.9% of reviews)
Entry-Level Pricing
Contact Us
Free
Encord
Star Rating
(61)4.8 out of 5
Market Segments
Small-Business (51.7% of reviews)
Entry-Level Pricing
Contact Us
Learn more about EncordV7 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 Ease of Setup with a score of 9.7, making it a preferred choice for those who prioritize quick implementation. In contrast, Encord's score of 8.3 indicates a more complex setup process, which some users find cumbersome.
- Reviewers mention that Encord shines in Quality of Support, achieving a perfect score of 10.0. Users appreciate the responsiveness and helpfulness of the support team, while V7, with a score of 9.6, is also well-regarded but does not reach the same level of excellence.
- G2 users highlight V7's superior Human-in-the-Loop capabilities, scoring 9.4, which enhances the quality of data labeling. Encord, however, outperforms in Task Quality with a score of 9.8, indicating that users find the output of tasks to be more reliable and accurate.
- Users on G2 report that both products offer strong Model Training features, but V7's perfect score of 10.0 in this area suggests a more robust set of tools for users looking to optimize their models effectively compared to Encord's score of 9.7.
- Reviewers mention that Encord's Automation features, particularly in Automatic Routing of Labeling, score 9.6, which users find beneficial for streamlining workflows. V7, while also effective, scores slightly lower at 9.5, indicating that Encord may provide a more efficient automated experience.
- Users say that V7's Scalability is impressive, with a score of 9.8, making it suitable for growing businesses. Encord matches this score but users report that V7's user interface and overall experience make scaling up easier and more intuitive.
Pricing
Entry-Level Pricing
Encord
Simple and scalable pricing
Contact Us
Our pricing scales with your organization. Start building out your data annotation & active learning pipelines today.
- Computer vision labeling toolkit
- Model assisted labeling using your own models or our proprietary micro-models
- Automated object tracking and interpolation
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
Encord
Free Trial is available
V7 Darwin
Free Trial is available
Ratings
Meets Requirements
9.3
46
9.5
37
Ease of Use
9.5
47
9.6
37
Ease of Setup
8.5
11
9.7
16
Ease of Admin
7.8
10
9.4
15
Quality of Support
10.0
45
9.6
35
Has the product been a good partner in doing business?
9.3
10
9.9
14
Product Direction (% positive)
9.7
46
9.6
31
Features by Category
Deployment
9.4
6
Not enough data
9.5
7
9.4
6
9.8
7
9.7
5
9.8
8
9.0
7
9.8
8
9.8
7
Deployment
10.0
6
Not enough data
9.5
7
9.3
5
9.5
7
9.7
6
9.6
8
9.2
6
10.0
8
9.8
7
Management
9.8
7
9.3
5
9.8
8
10.0
6
10.0
6
Not enough data
9.8
8
Not enough data
Operations
10.0
6
9.7
6
9.7
6
Not enough data
10.0
9
10.0
6
Management
10.0
7
10.0
5
10.0
8
9.7
5
9.8
7
9.3
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
9.7
6
Not enough data
10.0
5
Not enough data
9.7
6
Not enough data
Model Development
Not enough data
Not enough data
9.7
5
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
9.5
7
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.7
5
Not enough data
Machine/Deep Learning Services
9.7
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.7
5
Not enough data
Deployment
10.0
7
Not enough data
9.8
7
Not enough data
9.5
7
Not enough data
Deployment
10.0
5
Not enough data
9.7
6
Not enough data
9.7
5
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
9.5
31
9.4
20
9.8
30
9.5
23
9.6
31
9.3
20
9.8
29
9.4
21
Automation
9.7
25
9.3
15
9.5
24
9.5
13
Image Annotation
9.6
30
9.4
26
9.3
27
9.6
23
9.1
23
9.1
16
9.7
24
9.1
17
Natural Language Annotation
9.5
14
9.2
12
9.6
14
9.0
8
9.6
16
9.3
9
Speech Annotation
9.5
14
7.6
7
9.5
13
8.1
7
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
Feature Not Available
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
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
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Encord and V7 Darwin are categorized as Data Labeling and MLOps Platforms
Unique Categories
Encord is categorized as Active Learning Tools, Data Science and Machine Learning Platforms, Image Recognition, and Machine Learning
V7 Darwin has no unique categories
Reviews
Reviewers' Company Size
Encord
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
Computer Software
36.7%
Medical Devices
11.7%
Hospital & Health Care
11.7%
Food & Beverages
10.0%
Information Technology and Services
6.7%
Other
23.3%
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
Encord
Most Helpful Favorable Review
Jack B.
Verified User in Computer Software
A very easy-to-use platform for image annotation. The hierarchy of data makes it easy to reuse images for different tasks. The team are also very accommodating and open to feedback.
Most Helpful Critical Review
Bipul T.
Verified User in Information Technology and Services
The zoom feature. Its working mechanism is exactly opposite compared to rest of the platforms in computer world. It could be better by not eliminating the opposite working mechanism.
V7 Darwin
Most Helpful Favorable Review
Desmond A.
Verified User in Information Technology and Services
The platform's User Interface is one of my favorite aspects of this annotation tool. Because everything you need to work with is simply accessible and the hotkeys are so nicely implemented, you'll be able to work more quickly. The icons used to symbolize...
Most Helpful Critical Review
Verified User in Information Technology and Services
the tool is not user-friendly or intuitive, making it difficult for users to navigate and utilize all of its features and thus i think the interface and help feature must be improved
Jack B.
Verified User in Computer Software
A very easy-to-use platform for image annotation. The hierarchy of data makes it easy to reuse images for different tasks. The team are also very accommodating and open to feedback.
Desmond A.
Verified User in Information Technology and Services
The platform's User Interface is one of my favorite aspects of this annotation tool. Because everything you need to work with is simply accessible and the hotkeys are so nicely implemented, you'll be able to work more quickly. The icons used to symbolize...
Bipul T.
Verified User in Information Technology and Services
The zoom feature. Its working mechanism is exactly opposite compared to rest of the platforms in computer world. It could be better by not eliminating the opposite working mechanism.
Verified User in Information Technology and Services
the tool is not user-friendly or intuitive, making it difficult for users to navigate and utilize all of its features and thus i think the interface and help feature must be improved
Alternatives
Discussions
Encord has no discussions with answers
V7 Darwin has no discussions with answers
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