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Compare Dataloop and Voxel51 
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At a Glance
Market Segments
Mid-Market (39.8% of reviews)
Small-Business (78.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Dataloop
Star Rating
(90)4.4 out of 5
Market Segments
Mid-Market (39.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataloopVoxel51
Star Rating
(14)4.3 out of 5
Market Segments
Small-Business (78.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Voxel51Dataloop vs Voxel51
- Reviewers felt that Voxel51 meets the needs of their business better than Dataloop.
- When comparing quality of ongoing product support, reviewers felt that Dataloop is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Voxel51 over Dataloop.
Pricing
Entry-Level Pricing
Dataloop
No pricing availableVoxel51
No pricing availableFree Trial
Dataloop
No trial information availableVoxel51
Free Trial is available
Ratings
Meets Requirements
8.7
75
9.5
13
Ease of Use
8.8
76
8.6
14
Ease of Setup
8.5
40
8.8
12
Ease of Admin
8.8
20
Not enough data
Quality of Support
8.9
74
8.5
12
Has the product been a good partner in doing business?
8.8
20
Not enough data
Product Direction (% positive)
8.6
68
10.0
13
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
9.0
8
Not enough data
Model Development
9.3
7
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
Model Development
8.3
8
Not enough data
Machine/Deep Learning Services
9.4
8
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
8.3
9
Not enough data
Machine/Deep Learning Services
8.6
6
Not enough data
8.3
9
Not enough data
Deployment
8.9
6
Not enough data
8.5
9
Not enough data
8.3
9
Not enough data
Generative AI
7.9
7
Not enough data
8.5
8
Not enough data
9.2
6
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
8.8
53
Not enough data
9.0
53
Not enough data
9.1
54
Not enough data
8.9
52
Not enough data
Automation
8.8
52
Not enough data
8.7
48
Not enough data
Image Annotation
9.2
51
Not enough data
9.2
52
Not enough data
9.1
50
Not enough data
9.2
51
Not enough data
Natural Language Annotation
9.0
43
Not enough data
8.9
42
Not enough data
8.9
45
Not enough data
Speech Annotation
9.0
40
Not enough data
8.9
39
Not enough data
Recognition Type
8.4
34
Not enough data
9.0
36
Not enough data
8.6
35
Not enough data
8.4
32
Not enough data
8.8
32
Not enough data
8.7
33
Not enough data
8.5
33
Not enough data
8.8
33
Not enough data
Facial Recognition
8.8
33
Not enough data
8.6
32
Not enough data
Labeling
8.9
34
Not enough data
9.4
33
Not enough data
8.7
32
Not enough data
Deployment
8.3
33
Not enough data
Model Training & Optimization - Active Learning Tools
Not enough data
9.3
12
Not enough data
8.8
11
Not enough data
8.2
11
Not enough data
8.3
11
Not enough data
9.1
11
Data Management & Annotation - Active Learning Tools
Not enough data
8.8
11
Not enough data
9.3
10
Not enough data
9.2
10
Not enough data
8.8
10
Not enough data
9.2
10
Model Performance & Analysis - Active Learning Tools
Not enough data
8.2
10
Not enough data
8.8
10
Not enough data
9.0
10
Not enough data
8.9
11
Not enough data
9.2
11
Categories
Categories
Shared Categories
Dataloop and Voxel51 are categorized as Active Learning Tools
Unique Categories
Dataloop is categorized as Data Labeling, MLOps Platforms, Data Science and Machine Learning Platforms, and Image Recognition
Voxel51 has no unique categories
Reviews
Reviewers' Company Size
Dataloop
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Voxel51
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
27.3%
Computer Software
26.1%
Retail
2.3%
Research
2.3%
Oil & Energy
2.3%
Other
39.8%
Computer Software
42.9%
Food Production
14.3%
Retail
7.1%
Government Administration
7.1%
E-Learning
7.1%
Other
21.4%
Discussions
What are the industries that Dataloop supports?
1 Comment
Official Response from Dataloop
Dataloop is designed to be data agnostic, which enables us to support a broad spectrum of industries. Our platform's flexibility and advanced AI capabilities...Read more
What are the industries that Dataloop supports?
1 Comment
Official Response from Dataloop
Dataloop is designed to be data agnostic, which enables us to support a broad spectrum of industries. Our platform's flexibility and advanced AI capabilities...Read more
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
Voxel51 has no discussions with answers
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