Introducing G2.ai, the future of software buying.Try now
Compare Roboflow and SuperAnnotate 
At a Glance
Market Segments
Small-Business (78.8% of reviews)
Small-Business (62.1% of reviews)
Entry-Level Pricing
Free
Contact Us
Roboflow
Star Rating
(118)4.8 out of 5
Market Segments
Small-Business (78.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 3 pricing plansSuperAnnotate
Star Rating
(222)4.9 out of 5
Market Segments
Small-Business (62.1% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Roboflow excels in providing an end-to-end computer vision workflow, seamlessly integrating dataset management, annotation, preprocessing, and augmentation. Users appreciate how this all-in-one platform saves engineering time and reduces mistakes, making it a strong choice for those looking for efficiency.
- Users say SuperAnnotate shines in its user-friendly interface and organizational capabilities, which facilitate collaboration on annotation projects. Reviewers highlight the built-in QA tools that ensure accurate annotations, making it a reliable option for teams working on machine learning and AI projects.
- According to verified reviews, Roboflow's flexibility in creating and configuring custom computer vision models is a standout feature. Users enjoy the drag-and-drop functionality that simplifies setup, allowing them to tailor models to their specific needs, which is particularly beneficial for small businesses.
- Reviewers mention that while SuperAnnotate offers a robust platform for data labeling, it faces challenges in market presence compared to Roboflow, which has a higher G2 Score and a larger share of small-business users. This may indicate a more established user base and community support for Roboflow.
- Users highlight that Roboflow's recent updates and features contribute to its high satisfaction ratings, with many praising its dataset versioning capabilities. This feature is particularly useful for teams needing to manage multiple iterations of their datasets efficiently.
- G2 reviewers note that SuperAnnotate's strong focus on annotation accuracy and project management tools makes it a solid choice for teams prioritizing quality. However, some users feel that Roboflow's overall performance and ease of use give it an edge in day-to-day operations.
Pricing
Entry-Level Pricing
Roboflow
Public
Free
Best for Testing and Exploration. Data and models are open source on Roboflow Universe.
- 2 users
- $60/mo free credits
- Data labeling suite w/ AI features
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
Roboflow
Free Trial is available
SuperAnnotate
Free Trial is available
Ratings
Meets Requirements
9.0
114
9.6
131
Ease of Use
9.2
117
9.6
136
Ease of Setup
9.2
115
9.6
95
Ease of Admin
9.3
27
9.6
51
Quality of Support
8.7
108
9.6
132
Has the product been a good partner in doing business?
9.2
27
9.7
52
Product Direction (% positive)
10.0
113
9.6
117
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
Quality
8.9
61
9.7
83
8.7
61
9.6
90
9.0
60
9.7
81
9.2
65
9.7
81
Automation
8.4
62
9.3
64
8.4
61
9.5
51
Image Annotation
9.1
62
9.4
76
9.1
63
9.4
72
8.4
60
9.3
64
8.6
60
9.5
65
Natural Language Annotation
8.1
54
9.4
51
7.5
53
9.3
43
8.2
53
9.6
47
Speech Annotation
6.8
50
9.2
44
6.8
50
9.1
42
Recognition Type
7.2
76
Not enough data
9.2
92
Not enough data
8.3
80
Not enough data
7.9
77
Not enough data
7.0
73
Not enough data
8.1
78
Not enough data
7.1
73
Not enough data
8.3
77
Not enough data
Facial Recognition
8.1
73
Not enough data
7.7
74
Not enough data
Labeling
9.2
95
Not enough data
9.4
90
Not enough data
9.4
93
Not enough data
Deployment
8.7
92
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
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.6
19
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
16
Not enough data
9.7
15
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
15
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
15
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.4
14
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Not enough data
9.7
15
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Not enough data
9.6
13
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.5
13
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Categories
Categories
Shared Categories
Roboflow and SuperAnnotate are categorized as Data Labeling and Active Learning Tools
Unique Categories
Roboflow is categorized as Image Recognition
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps) and MLOps Platforms
Reviews
Reviewers' Company Size
Roboflow
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
Computer Software
14.4%
Research
10.2%
Higher Education
8.5%
Manufacturing
7.6%
Information Technology and Services
5.1%
Other
54.2%
Information Technology and Services
24.3%
Computer Software
16.4%
Research
6.2%
Higher Education
4.5%
Health, Wellness and Fitness
3.4%
Other
45.2%
Discussions
Roboflow 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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
