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Compare Encord and OpenCV 
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At a Glance
Market Segments
Small-Business (50.8% of reviews)
Small-Business (36.8% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
Encord
Star Rating
(62)4.8 out of 5
Market Segments
Small-Business (50.8% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about EncordOpenCV
Star Rating
(39)4.5 out of 5
Market Segments
Small-Business (36.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about OpenCVSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that OpenCV excels in its extensive library of computer vision algorithms, earning a solid star rating of 4.5, while Encord shines with a higher rating of 4.8, particularly for its user-friendly interface and advanced annotation tools.
- Reviewers mention that Encord has a larger market segment presence, with 52.5% of reviews coming from small businesses, compared to OpenCV's 36.8%, indicating a stronger alignment with the needs of smaller enterprises.
- G2 users highlight that OpenCV's ease of setup scores an 8.4, which is slightly better than Encord's 8.3, suggesting that while both are relatively easy to implement, OpenCV may have a slight edge in initial configuration.
- Users on G2 emphasize the quality of support for Encord, which scores a perfect 10.0, while OpenCV's support is rated at 8.4, indicating that Encord users feel more satisfied with the assistance they receive.
- Reviewers mention that Encord's product direction is rated at 9.7, reflecting a strong positive outlook for future updates and features, while OpenCV's score of 8.3 suggests a more cautious approach to its development roadmap.
- Users say that while both products meet requirements well, Encord's score of 9.3 outshines OpenCV's 8.7, indicating that Encord may better fulfill user expectations and needs in practical applications.
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
OpenCV
No pricing availableFree Trial
Encord
Free Trial is available
OpenCV
No trial information availableRatings
Meets Requirements
9.3
47
8.7
35
Ease of Use
9.5
48
7.8
35
Ease of Setup
8.3
12
8.4
30
Ease of Admin
7.7
11
8.7
27
Quality of Support
9.9
46
8.4
32
Has the product been a good partner in doing business?
9.4
11
9.1
27
Product Direction (% positive)
9.8
47
8.3
34
Features by Category
Deployment
9.4
6
Not enough data
9.5
7
Not enough data
9.8
7
Not enough data
9.8
8
Not enough data
9.8
8
Not enough data
Deployment
10.0
6
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.6
8
Not enough data
10.0
8
Not enough data
Management
9.8
7
Not enough data
9.8
8
Not enough data
10.0
6
Not enough data
9.8
8
Not enough data
Operations
10.0
6
Not enough data
9.7
6
Not enough data
10.0
9
Not enough data
Management
10.0
7
Not enough data
10.0
8
Not enough data
9.8
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.0
5
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
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
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
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
9.4
32
Not enough data
9.8
31
Not enough data
9.5
32
Not enough data
9.8
30
Not enough data
Automation
9.5
26
Not enough data
9.5
25
Not enough data
Image Annotation
9.6
31
Not enough data
9.3
28
Not enough data
9.2
24
Not enough data
9.7
25
Not enough data
Natural Language Annotation
9.6
15
Not enough data
9.7
15
Not enough data
9.6
17
Not enough data
Speech Annotation
9.6
15
Not enough data
9.5
14
Not enough data
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 OpenCV are categorized as Image Recognition
Unique Categories
Encord is categorized as Active Learning Tools, Data Labeling, MLOps Platforms, Data Science and Machine Learning Platforms, and Machine Learning
OpenCV has no unique categories
Reviews
Reviewers' Company Size
Encord
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
OpenCV
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
36.1%
Medical Devices
11.5%
Hospital & Health Care
11.5%
Food & Beverages
9.8%
Information Technology and Services
8.2%
Other
23.0%
Computer Software
36.8%
Information Technology and Services
21.1%
Higher Education
10.5%
Industrial Automation
5.3%
Financial Services
5.3%
Other
21.1%
Alternatives
Discussions
Encord has no discussions with answers
What algorithm does OpenCV use?
1 Comment
PD
FisherFace Recognizer , I have personally used it for emotion detection from human faceRead more
OpenCV has no more discussions with answers
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