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At a Glance
Market Segments
Small-Business (61.5% of reviews)
Small-Business (46.8% 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 plansLabelbox
Star Rating
(47)4.5 out of 5
Market Segments
Small-Business (46.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about LabelboxSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Clarifai excels in its Object Detection capabilities, scoring 9.0, while Labelbox follows closely with a score of 8.6. Reviewers mention that Clarifai's model is particularly effective for real-time applications, making it a preferred choice for businesses needing quick and accurate object recognition.
- Reviewers mention that Labelbox shines in Labeler Quality, achieving a score of 9.3 compared to Clarifai's 8.2. Users on G2 highlight that Labelbox's intuitive interface and robust labeling tools significantly enhance the quality of annotations, which is crucial for training accurate models.
- G2 users report that Labelbox offers superior Automation features, with a score of 8.6 for Machine Learning Pre-Labeling, while Clarifai scores 7.7. Users say that Labelbox's automatic routing of labeling tasks (8.3) streamlines workflows, making it easier to manage large datasets efficiently.
- Users say that Clarifai's AI Inference Speed is impressive, scoring 9.1, which is essential for applications requiring fast processing. In contrast, Labelbox does not provide specific metrics for inference speed, leading some users to feel that it may not be as optimized for real-time performance.
- Reviewers mention that Labelbox's Data Quality features are highly rated at 9.3, while Clarifai scores 8.8. Users report that Labelbox's actionable insights for data quality help teams identify and rectify issues quickly, which is vital for maintaining high standards in machine learning projects.
- Users on G2 highlight that Clarifai's Human-in-the-Loop functionality, scoring 7.9, is less robust compared to Labelbox's 8.9. Reviewers mention that Labelbox's integration of human feedback into the model training process significantly improves accuracy and adaptability, making it a better choice for projects requiring iterative learning.
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
Labelbox
No pricing availableFree Trial
Clarifai
Free Trial is available
Labelbox
Free Trial is available
Ratings
Meets Requirements
8.2
58
9.0
41
Ease of Use
8.2
58
9.0
41
Ease of Setup
7.7
35
9.0
21
Ease of Admin
8.8
20
9.0
5
Quality of Support
8.1
49
9.0
39
Has the product been a good partner in doing business?
8.5
18
8.7
5
Product Direction (% positive)
7.8
53
9.0
35
Features by Category
Deployment
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
Deployment
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
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
9.1
27
8.7
13
8.9
27
8.9
12
9.1
28
8.1
12
8.6
26
Automation
7.9
12
8.5
25
7.8
12
8.3
24
Image Annotation
7.9
11
8.7
26
8.3
12
8.5
25
8.3
11
8.7
24
8.3
11
8.8
24
Natural Language Annotation
7.9
11
8.9
23
8.1
9
8.3
22
7.8
9
8.7
20
Speech Annotation
7.3
8
8.3
19
7.7
8
7.8
19
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
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
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 Labelbox are categorized as Data Labeling and Data Science and Machine Learning Platforms
Unique Categories
Clarifai is categorized as Generative AI Infrastructure, Image Recognition, Machine Learning, Large Language Model Operationalization (LLMOps), Emotion AI, and Low-Code Machine Learning Platforms
Labelbox is categorized as Active Learning Tools and MLOps Platforms
Reviews
Reviewers' Company Size
Clarifai
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Labelbox
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
31.9%
Information Technology and Services
14.9%
Research
4.3%
Hospitality
4.3%
E-Learning
4.3%
Other
40.4%
Alternatives
Discussions
Clarifai has no discussions with answers
How do I download Labelbox?
2 Comments
NB
Hi! You can try it for free here https://app.labelbox.com/signup. Read more
Labelbox has no more discussions with answers
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