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Compare Amazon Rekognition and Clarifai 
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At a Glance
Market Segments
Small-Business (40.7% of reviews)
Small-Business (61.5% of reviews)
Entry-Level Pricing
No pricing available
Free 1000 operations
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 RekognitionClarifai
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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Rekognition excels in "AI Inference Speed" with a score of 9.1, making it a preferred choice for applications requiring real-time image and video analysis. In contrast, Clarifai's performance in this area is not as strong, which may affect users needing rapid processing.
- Reviewers mention that Amazon Rekognition offers superior "Quality of Support" with a score of 9.1, indicating a more responsive and helpful customer service experience compared to Clarifai, which scored 8.3. This can be crucial for businesses that rely on timely assistance.
- G2 users highlight that Clarifai shines in "Pre-Built Algorithms" with a score of 9.3, providing a robust library that simplifies model development. In comparison, Amazon Rekognition's score of 9.2 is slightly lower, suggesting that Clarifai may offer more diverse options for users looking to leverage pre-existing models.
- Users on G2 report that Amazon Rekognition's "Ease of Setup" is rated at 9.1, making it more user-friendly for new adopters. Clarifai, with a score of 8.0, may present a steeper learning curve for those unfamiliar with machine learning tools.
- Reviewers mention that Clarifai's "Human-in-the-Loop" feature scored 7.9, which some users feel could be improved for better accuracy in labeling tasks. In contrast, Amazon Rekognition's overall task quality score of 8.8 suggests a more reliable performance in automated tasks.
- Users say that Amazon Rekognition's "Emotion Detection" feature, rated at 8.0, is particularly effective for applications in security and marketing, while Clarifai's offerings in this area may not be as robust, potentially limiting its use in sensitive applications.
Pricing
Entry-Level Pricing
Amazon Rekognition
No pricing availableClarifai
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
Free Trial
Amazon Rekognition
No trial information availableClarifai
Free Trial is available
Ratings
Meets Requirements
8.4
21
8.2
58
Ease of Use
8.4
21
8.2
58
Ease of Setup
9.1
16
7.7
35
Ease of Admin
8.6
16
8.8
20
Quality of Support
9.1
16
8.1
49
Has the product been a good partner in doing business?
8.9
15
8.5
18
Product Direction (% positive)
9.4
20
7.8
53
Features by Category
System
Not enough data
8.4
17
Model Development
Not enough data
8.7
18
Not enough data
7.8
18
Not enough data
9.2
18
Not enough data
8.4
18
Model Development
Not enough data
8.8
15
Machine/Deep Learning Services
Not enough data
8.7
18
Not enough data
9.1
16
Not enough data
8.4
16
Not enough data
8.4
17
Machine/Deep Learning Services
Not enough data
8.8
16
Not enough data
8.5
16
Deployment
Not enough data
8.2
17
Not enough data
8.0
17
Not enough data
8.0
15
Generative AI
Not enough data
8.8
15
Not enough data
8.7
15
Not enough data
8.3
15
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
Not enough data
8.3
13
Not enough data
8.7
13
Not enough data
8.9
12
Not enough data
8.1
12
Automation
Not enough data
7.9
12
Not enough data
7.8
12
Image Annotation
Not enough data
7.9
11
Not enough data
8.3
12
Not enough data
8.3
11
Not enough data
8.3
11
Natural Language Annotation
Not enough data
7.9
11
Not enough data
8.1
9
Not enough data
7.8
9
Speech Annotation
Not enough data
7.3
8
Not enough data
7.7
8
Recognition Type
Not enough data
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
Facial Recognition
Not enough data
8.5
13
Not enough data
7.8
12
Labeling
Not enough data
8.3
12
Not enough data
8.6
12
Not enough data
9.1
13
Deployment
Not enough data
8.6
13
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.4
22
Not enough data
8.1
21
Not enough data
9.0
21
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.9
22
Not enough data
8.4
20
Not enough data
Feature Not Available
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.1
19
Not enough data
7.9
20
Not enough data
8.5
21
Security and Compliance - Generative AI Infrastructure
Not enough data
8.8
19
Not enough data
8.5
19
Not enough data
Feature Not Available
Usability and Support - Generative AI Infrastructure
Not enough data
7.9
20
Not enough data
Feature Not Available
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
Amazon Rekognition and Clarifai are categorized as Image Recognition
Unique Categories
Amazon Rekognition has no unique categories
Reviews
Reviewers' Company Size
Amazon Rekognition
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Clarifai
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%
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%
Alternatives
Discussions
Amazon Rekognition has no discussions with answers
Clarifai has no discussions with answers
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