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Compare OpenCV and scikit-image 
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At a Glance
Market Segments
Small-Business (36.8% of reviews)
Enterprise (38.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
OpenCV
Star Rating
(39)4.5 out of 5
Market Segments
Small-Business (36.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about OpenCVscikit-image
Star Rating
(13)4.4 out of 5
Market Segments
Enterprise (38.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about scikit-imageSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that OpenCV excels in real-time computer vision applications, particularly in areas like "Object Detection" and "Facial Recognition," making it a preferred choice for developers focused on performance and speed.
- Reviewers mention that scikit-image offers a more user-friendly experience, especially for beginners, with a higher "Ease of Use" score, which is beneficial for those new to image processing.
- G2 users highlight that OpenCV has a broader range of functionalities, including advanced features like "Motion Analysis" and "Scene Reconstruction," which are essential for complex projects.
- Users on G2 indicate that scikit-image shines in its "Ease of Setup," with many reviewers appreciating its straightforward installation process and comprehensive documentation, making it accessible for quick projects.
- Reviewers say that OpenCV's community support is robust, with a wealth of tutorials and forums available, which is crucial for troubleshooting and learning, while scikit-image users note that its support is slightly less extensive but still effective.
- Users report that both products have strong capabilities in "Model Training" and "Custom Image Detection," but OpenCV is often favored for its performance in real-time applications, while scikit-image is preferred for academic and research purposes due to its simplicity and clarity in implementation.
Pricing
Entry-Level Pricing
OpenCV
No pricing availablescikit-image
No pricing availableFree Trial
OpenCV
No trial information availablescikit-image
No trial information availableRatings
Meets Requirements
8.7
35
8.9
12
Ease of Use
7.8
35
8.8
12
Ease of Setup
8.4
30
9.2
10
Ease of Admin
8.7
27
8.2
10
Quality of Support
8.4
32
8.5
11
Has the product been a good partner in doing business?
9.1
27
9.3
9
Product Direction (% positive)
8.3
34
10.0
12
Features by Category
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
OpenCV and scikit-image are categorized as Image Recognition
Unique Categories
OpenCV has no unique categories
scikit-image has no unique categories
Reviews
Reviewers' Company Size
OpenCV
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
scikit-image
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
36.8%
Information Technology and Services
21.1%
Higher Education
10.5%
Industrial Automation
5.3%
Financial Services
5.3%
Other
21.1%
Computer Software
30.8%
Information Technology and Services
23.1%
Higher Education
23.1%
Research
7.7%
Management Consulting
7.7%
Other
7.7%
Alternatives
Discussions
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
scikit-image has no discussions with answers
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