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At a Glance
Market Segments
Small-Business (61.5% of reviews)
Small-Business (36.8% of reviews)
Entry-Level Pricing
Free 1000 operations
No pricing available
Clarifai
Star Rating
(65)4.3 out of 5
Market Segments
Small-Business (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1000 operations
Browse all 4 pricing plansOpenCV
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 "Object Detection" with a score of 9.0, making it a preferred choice for developers focused on computer vision tasks. In contrast, Clarifai also performs well in this area but has a slightly lower score of 8.2, indicating that OpenCV may offer more robust capabilities for this specific function.
- Reviewers mention that OpenCV's "Custom Image Detection" feature stands out with a score of 9.1, allowing for tailored solutions in image processing. Clarifai, while strong in many areas, does not have a comparable feature that matches this level of customization, which may limit its appeal for users needing specific image recognition tasks.
- G2 users highlight that Clarifai's "Pre-Built Algorithms" receive high praise with a score of 9.3, making it easier for users to implement machine learning solutions without extensive coding. OpenCV, while powerful, requires more technical expertise to leverage its capabilities effectively, which some users find challenging.
- Users on G2 report that OpenCV's "Ease of Setup" is rated at 8.4, which is favorable for developers looking to get started quickly. In comparison, Clarifai's ease of setup is rated slightly lower at 8.0, suggesting that OpenCV may provide a more straightforward onboarding experience for new users.
- Reviewers mention that Clarifai's "AI Inference Speed" is rated at 9.1, which is crucial for applications requiring real-time processing. OpenCV, while efficient, does not have a specific metric for inference speed, which could be a deciding factor for users needing high-performance applications.
- Users say that OpenCV's "Human-in-the-Loop" feature scores 7.9, indicating a solid but not exceptional capability for integrating human feedback into the machine learning process. Clarifai, with a score of 8.0 in this area, slightly edges out OpenCV, suggesting it may offer a more refined approach to incorporating human insights into its workflows.
Pricing
Entry-Level Pricing
Clarifai
Clarifai Community
Free
1000 operations
We offer a free version of our platform for our community to discover, develop and share models, workflows, and datasets.
- Access to 100s of models from Clarifai, Facebook, Google, Hugging Face, Microsoft, Princeton NLP, Salesforce
- Easy UI with a “drag-n-drop” workflow graph editor
- Access to community shared workflows, datasets, and apps
OpenCV
No pricing availableFree Trial
Clarifai
Free Trial is available
OpenCV
No trial information availableRatings
Meets Requirements
8.2
58
8.7
35
Ease of Use
8.2
58
7.8
35
Ease of Setup
7.7
35
8.4
30
Ease of Admin
8.8
20
8.7
27
Quality of Support
8.1
49
8.4
32
Has the product been a good partner in doing business?
8.5
18
9.1
27
Product Direction (% positive)
7.8
53
8.3
34
Features by Category
System
8.4
17
Not enough data
Model Development
8.7
18
Not enough data
7.8
18
Not enough data
9.2
18
Not enough data
8.4
18
Not enough data
Model Development
8.8
15
Not enough data
Machine/Deep Learning Services
8.7
18
Not enough data
9.1
16
Not enough data
8.4
16
Not enough data
8.4
17
Not enough data
Machine/Deep Learning Services
8.8
16
Not enough data
8.5
16
Not enough data
Deployment
8.2
17
Not enough data
8.0
17
Not enough data
8.0
15
Not enough data
Generative AI
8.8
15
Not enough data
8.7
15
Not enough data
8.3
15
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
8.3
13
Not enough data
8.7
13
Not enough data
8.9
12
Not enough data
8.1
12
Not enough data
Automation
7.9
12
Not enough data
7.8
12
Not enough data
Image Annotation
7.9
11
Not enough data
8.3
12
Not enough data
8.3
11
Not enough data
8.3
11
Not enough data
Natural Language Annotation
7.9
11
Not enough data
8.1
9
Not enough data
7.8
9
Not enough data
Speech Annotation
7.3
8
Not enough data
7.7
8
Not enough data
Recognition Type
8.3
12
Not enough data
9.1
15
Not enough data
8.7
14
Not enough data
7.6
12
Not enough data
8.1
12
Not enough data
7.8
13
Not enough data
8.2
11
Not enough data
7.9
13
Not enough data
Facial Recognition
8.5
13
Not enough data
7.8
12
Not enough data
Labeling
8.3
12
Not enough data
8.6
12
Not enough data
9.1
13
Not enough data
Deployment
8.6
13
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.4
22
Not enough data
8.1
21
Not enough data
9.0
21
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.9
22
Not enough data
8.4
20
Not enough data
Feature Not Available
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.1
19
Not enough data
7.9
20
Not enough data
8.5
21
Not enough data
Security and Compliance - Generative AI Infrastructure
8.8
19
Not enough data
8.5
19
Not enough data
Feature Not Available
Not enough data
Usability and Support - Generative AI Infrastructure
7.9
20
Not enough data
Feature Not Available
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
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Usability - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security & Compliance - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Detection Features - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Emotion AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Clarifai and OpenCV are categorized as Image Recognition
Unique Categories
OpenCV has no unique categories
Reviews
Reviewers' Company Size
Clarifai
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
23.1%
Information Technology and Services
12.3%
Higher Education
9.2%
Education Management
4.6%
Online Media
3.1%
Other
47.7%
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
Clarifai 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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