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Compare Labellerr and SuperAnnotate 
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At a Glance
Market Segments
Small-Business (57.1% of reviews)
Small-Business (63.6% of reviews)
Entry-Level Pricing
Contact Us Per Month
Contact Us
Labellerr
Star Rating
(21)4.8 out of 5
Market Segments
Small-Business (57.1% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us Per Month
Browse all 3 pricing plansSuperAnnotate
Star Rating
(182)4.9 out of 5
Market Segments
Small-Business (63.6% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Labellerr excels in Labeler Quality with a score of 9.9, which reviewers mention contributes to high-quality annotations, while SuperAnnotate follows closely with a score of 9.8, indicating strong performance but slightly less user satisfaction.
- Reviewers mention that Labellerr's Ease of Use is rated at 9.8, making it particularly user-friendly for small businesses, whereas SuperAnnotate, with a score of 9.6, is still easy to navigate but may require a bit more training for new users.
- G2 users highlight Labellerr's Human-in-the-Loop feature, scoring 9.3, as a significant advantage for ensuring quality control in data labeling, while SuperAnnotate's score of 9.7 suggests it offers a more robust solution in this area, enhancing user confidence in the labeling process.
- Users on G2 report that Labellerr's Machine Learning Pre-Labeling feature scores 9.6, which helps streamline the labeling process, while SuperAnnotate's score of 9.3 indicates it may not be as efficient in this aspect, potentially leading to longer project timelines.
- Reviewers mention that Labellerr's Scalability is rated at a perfect 10.0, making it an excellent choice for growing businesses, while SuperAnnotate also scores 10.0, but users feel Labellerr's implementation is more seamless and adaptable to changing needs.
- Users say that Labellerr's Quality of Support is rated at 9.7, with many praising the responsiveness and helpfulness of the support team, while SuperAnnotate shines even brighter with a score of 9.9, indicating exceptional customer service that users find invaluable.
Pricing
Entry-Level Pricing
Labellerr
Enterprise Plan
Contact Us
Per Month
- Seat Available: Unlimited
- Data Credit: Unlimited
- Datatype support: jpg, png, wav, mp4, pdf, txt, dicom, lidar, nifti
SuperAnnotate
Pro
Contact Us
Get ready to scale your most sophisticated AI projects and MLOps needs
- Fully customizable multimodal editor
- Image, video, text, and audio editors
- Data curation and exploration
Free Trial
Labellerr
Free Trial is available
SuperAnnotate
Free Trial is available
Ratings
Meets Requirements
9.4
18
9.6
116
Ease of Use
9.6
18
9.6
121
Ease of Setup
9.2
8
9.6
81
Ease of Admin
9.0
8
9.6
46
Quality of Support
9.7
18
9.7
118
Has the product been a good partner in doing business?
9.8
8
9.7
47
Product Direction (% positive)
10.0
18
9.5
102
Features by Category
Deployment
Not enough data
9.8
10
Not enough data
9.2
11
Not enough data
9.3
9
Not enough data
9.7
10
Not enough data
9.5
10
Deployment
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.5
10
Not enough data
9.4
11
Not enough data
9.3
12
Management
Not enough data
9.3
9
Not enough data
9.0
10
Not enough data
9.2
8
Not enough data
9.6
8
Operations
Not enough data
9.3
9
Not enough data
9.2
8
Not enough data
9.2
8
Management
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.3
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
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 Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
9.9
12
9.7
77
9.7
12
9.6
76
9.9
13
9.6
75
9.3
14
9.7
70
Automation
9.6
13
9.3
58
9.5
13
9.5
48
Image Annotation
9.6
13
9.3
71
9.7
13
9.4
68
9.7
13
9.3
60
9.9
13
9.5
62
Natural Language Annotation
9.9
12
9.4
47
9.6
13
9.2
40
9.8
11
9.6
44
Speech Annotation
9.9
12
9.2
41
9.6
12
9.1
39
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.5
13
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Not enough data
9.6
13
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
13
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
11
Not enough data
9.4
13
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Not enough data
9.6
12
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Not enough data
9.5
11
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
11
Not enough data
9.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
12
Categories
Categories
Shared Categories
Labellerr and SuperAnnotate are categorized as Data Labeling and MLOps Platforms
Unique Categories
Labellerr is categorized as Data Science and Machine Learning Platforms
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Labellerr
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SuperAnnotate
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
33.3%
Computer Software
14.3%
Hospital & Health Care
9.5%
Public Relations and Communications
4.8%
Marketing and Advertising
4.8%
Other
33.3%
Information Technology and Services
24.1%
Computer Software
16.0%
Research
6.8%
Higher Education
4.9%
Health, Wellness and Fitness
3.7%
Other
44.4%
Alternatives
Discussions
Labellerr has no discussions with answers
What is SuperAnnotate?
1 Comment
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
ST
I have been invited to skill test for a few projects with superannotate over the past year or so, each resulting in the platform being buggy and not allowing...Read more
SuperAnnotate has no more discussions with answers
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