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Compare Dataloop and Labelbox 
At a Glance
Market Segments
Mid-Market (39.8% of reviews)
Small-Business (46.8% 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 DataloopLabelbox
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 LabelboxDataloop vs Labelbox
When assessing the two solutions, reviewers found Labelbox easier to use, set up, and administer. However, reviewers preferred doing business with Dataloop overall.
- Reviewers felt that Labelbox meets the needs of their business better than Dataloop.
- When comparing quality of ongoing product support, reviewers felt that Labelbox is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Labelbox over Dataloop.
Pricing
Entry-Level Pricing
Dataloop
No pricing availableLabelbox
No pricing availableFree Trial
Dataloop
No trial information availableLabelbox
Free Trial is available
Ratings
Meets Requirements
8.7
75
9.0
41
Ease of Use
8.8
76
9.0
41
Ease of Setup
8.5
40
9.0
21
Ease of Admin
8.8
20
9.0
5
Quality of Support
8.9
74
9.0
39
Has the product been a good partner in doing business?
8.8
20
8.7
5
Product Direction (% positive)
8.6
68
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
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
9.1
27
9.0
53
8.9
27
9.1
54
9.1
28
8.9
52
8.6
26
Automation
8.8
52
8.5
25
8.7
48
8.3
24
Image Annotation
9.2
51
8.7
26
9.2
52
8.5
25
9.1
50
8.7
24
9.2
51
8.8
24
Natural Language Annotation
9.0
43
8.9
23
8.9
42
8.3
22
8.9
45
8.7
20
Speech Annotation
9.0
40
8.3
19
8.9
39
7.8
19
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
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
Categories
Categories
Shared Categories
Dataloop and Labelbox are categorized as Active Learning Tools, Data Labeling, MLOps Platforms, and Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Dataloop
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
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
31.9%
Information Technology and Services
14.9%
Research
4.3%
Hospitality
4.3%
E-Learning
4.3%
Other
40.4%
Alternatives
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
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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