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Compare Dataloop and Labelbox 
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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)
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)
Entry-Level Pricing
No pricing available
Learn more about LabelboxSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Labelbox excels in Labeler Quality with a score of 9.3, while Dataloop's score of 8.8 indicates it may not match the same level of quality in this area. Reviewers mention that the intuitive interface of Labelbox significantly enhances the labeling process.
- Reviewers mention that Dataloop shines in Object Detection with a score of 9.2, compared to Labelbox's score of 8.6. Users on G2 highlight Dataloop's advanced algorithms that improve detection accuracy, making it a preferred choice for complex projects.
- G2 users report that Labelbox offers superior Data Quality with a score of 9.3, while Dataloop follows closely with 9.1. Users say that Labelbox's robust data validation features help maintain high standards throughout the annotation process.
- Users say that Dataloop's Automation features, particularly in Machine Learning Pre-Labeling (8.8) and Automatic Routing of Labeling (8.7), provide a more streamlined workflow compared to Labelbox's scores of 8.6 and 8.3, respectively. Reviewers mention that these features save significant time in large-scale projects.
- Reviewers mention that Labelbox's Model Training capabilities, with a score of 8.3, are more user-friendly than Dataloop's lower score of 7.9. Users report that Labelbox's drag-and-drop functionality simplifies the model training process, making it accessible for users with varying levels of expertise.
- Users on G2 report that Dataloop's Facial Analysis features, scoring 8.8, outperform Labelbox's offerings in this area. Reviewers highlight Dataloop's advanced algorithms for facial recognition tasks, which are particularly beneficial for projects requiring high accuracy in human-centric data.
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 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
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
Is Dataloop free?
1 Comment
Official Response from Dataloop
Dataloop operates on a quote-based pricing model and does not currently offer a free plan. Our pricing is tailored to match the specific needs and scale of...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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