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Compare Clarifai and Google Cloud AutoML Vision 
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At a Glance
Market Segments
Small-Business (61.5% of reviews)
Small-Business (66.7% 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 plansGoogle Cloud AutoML Vision
Star Rating
(15)4.2 out of 5
Market Segments
Small-Business (66.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoML VisionSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Clarifai excels in its Drag and Drop feature, scoring 8.8, which simplifies the model training process, while Google Cloud AutoML Vision's score of 7.6 indicates a less intuitive interface for users.
- Reviewers mention that Clarifai's Custom Image Detection feature is highly praised, achieving a score of 9.1, allowing for tailored solutions, whereas Google Cloud AutoML Vision's score of 8.5 suggests it may not offer the same level of customization.
- G2 users highlight that Google Cloud AutoML Vision has superior Logo Detection capabilities, scoring 8.9 compared to Clarifai's 7.7, making it a better choice for businesses focused on brand recognition.
- Users on G2 report that Clarifai's Human-in-the-Loop functionality, with a score of 7.9, is beneficial for improving model accuracy, but Google Cloud AutoML Vision's overall performance in this area is less favorable, indicating potential limitations.
- Reviewers say that Google Cloud AutoML Vision's AI Inference Speed is impressive, scoring 9.1, which is crucial for real-time applications, while Clarifai's performance in this area is not as strong, suggesting it may lag in speed for time-sensitive tasks.
- Users report that both platforms have strong Quality of Support, with Clarifai scoring 8.3 and Google Cloud AutoML Vision at 8.7, but Google Cloud's slightly higher score indicates a more responsive support system, which can be critical for businesses needing quick resolutions.
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
Google Cloud AutoML Vision
No pricing availableFree Trial
Clarifai
Free Trial is available
Google Cloud AutoML Vision
No trial information availableRatings
Meets Requirements
8.2
58
8.3
9
Ease of Use
8.2
58
8.0
9
Ease of Setup
7.7
35
8.0
5
Ease of Admin
8.8
20
8.7
5
Quality of Support
8.1
49
8.7
9
Has the product been a good partner in doing business?
8.5
18
8.0
5
Product Direction (% positive)
7.8
53
8.7
9
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
8.1
6
9.1
15
8.5
8
8.7
14
7.9
7
7.6
12
8.1
7
8.1
12
8.1
6
7.8
13
8.9
6
8.2
11
7.4
7
7.9
13
7.1
7
Facial Recognition
8.5
13
8.3
7
7.8
12
7.4
7
Labeling
8.3
12
8.8
8
8.6
12
8.5
8
9.1
13
8.5
8
Deployment
8.6
13
8.1
8
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 Google Cloud AutoML Vision are categorized as Image Recognition
Unique Categories
Google Cloud AutoML Vision has no unique categories
Reviews
Reviewers' Company Size
Clarifai
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud AutoML Vision
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
26.7%
Information Technology and Services
13.3%
Automotive
13.3%
Retail
6.7%
Marketing and Advertising
6.7%
Other
33.3%
Alternatives
Discussions
Clarifai has no discussions with answers
Google Cloud AutoML Vision has no discussions with answers
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