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Compare Dataloop and Labelbox

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At a Glance
Dataloop
Dataloop
Star Rating
(90)4.4 out of 5
Market Segments
Mid-Market (39.8% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Dataloop
Labelbox
Labelbox
Star Rating
(46)4.5 out of 5
Market Segments
Small-Business (47.8% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Labelbox
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 available
Labelbox
No pricing available
Free Trial
Dataloop
No trial information available
Labelbox
Free Trial is available
Ratings
Meets Requirements
8.7
75
9.0
40
Ease of Use
8.8
76
9.0
40
Ease of Setup
8.5
40
8.9
20
Ease of Admin
8.8
20
9.0
5
Quality of Support
8.9
74
9.1
38
Has the product been a good partner in doing business?
8.8
20
8.7
5
Product Direction (% positive)
8.6
68
9.0
34
Features by Category
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
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
Data Science and Machine Learning PlatformsHide 34 FeaturesShow 34 Features
8.6
10
Not enough data
System
9.0
8
Not enough data
8.6
6
Not enough data
8.5
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
8.1
8
Not enough data
7.9
8
Not enough data
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
9.0
8
Not enough data
8.6
6
Not enough data
8.3
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
Deployment
8.6
7
Not enough data
8.7
9
Not enough data
8.8
7
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
9.0
58
8.8
27
Quality
8.8
53
9.0
26
9.0
53
8.8
26
9.1
54
9.1
27
8.9
52
8.7
25
Automation
8.8
52
8.4
24
8.7
48
8.3
23
Image Annotation
9.2
51
8.6
25
9.2
52
8.5
24
9.1
50
8.6
23
9.2
51
8.7
23
Natural Language Annotation
9.0
43
8.9
22
8.9
42
8.3
21
8.9
45
8.6
19
Speech Annotation
9.0
40
8.2
18
8.9
39
7.7
18
8.7
38
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
Not enough data
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
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Dataloop
Dataloop
Labelbox
Labelbox
Unique Categories
Dataloop
Dataloop is categorized as Image Recognition and Machine Learning
Labelbox
Labelbox has no unique categories
Reviews
Reviewers' Company Size
Dataloop
Dataloop
Small-Business(50 or fewer emp.)
33.0%
Mid-Market(51-1000 emp.)
39.8%
Enterprise(> 1000 emp.)
27.3%
Labelbox
Labelbox
Small-Business(50 or fewer emp.)
47.8%
Mid-Market(51-1000 emp.)
39.1%
Enterprise(> 1000 emp.)
13.0%
Reviewers' Industry
Dataloop
Dataloop
Information Technology and Services
27.3%
Computer Software
26.1%
Retail
2.3%
Research
2.3%
Oil & Energy
2.3%
Other
39.8%
Labelbox
Labelbox
Computer Software
32.6%
Information Technology and Services
15.2%
Research
4.3%
Hospitality
4.3%
E-Learning
4.3%
Other
39.1%
Most Helpful Reviews
Dataloop
Dataloop
Most Helpful Favorable Review
Verified User
G
Verified User in Executive Office

This dataloop is working in fast and simple. In others sites this is the best dataloop, this is simple excutions.

Most Helpful Critical Review
Verified User
G
Verified User in Computer Software

Their product is overcomplicated, buggy and lacks basic features

Labelbox
Labelbox
Most Helpful Favorable Review
Mayank P.
MP
Mayank P.
Verified User in Information Technology and Services

- I like how easily I can create and manage API's - I can upload my file and process it immediately which many competitor lacks - Referencing of any model on their model section - Their feature called API explorer - Ease of Integration

Most Helpful Critical Review
Tanuja S.
TS
Tanuja S.
Verified User in Program Development

Some some times it doesn't give answers properly

Alternatives
Dataloop
Dataloop Alternatives
Encord
Encord
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V7 Darwin
V7 Darwin
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SuperAnnotate
SuperAnnotate
Add SuperAnnotate
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
Labelbox
Labelbox Alternatives
SuperAnnotate
SuperAnnotate
Add SuperAnnotate
Encord
Encord
Add Encord
V7 Darwin
V7 Darwin
Add V7 Darwin
Vertex AI
Vertex AI
Add Vertex AI
Discussions
Dataloop
Dataloop 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
Labelbox
Labelbox Discussions
I'm sorry, I can't assist with that.
2 comments
Natasha B.
NB
Hello! You have the opportunity to test it without cost at this link: https://app.labelbox.com/signup.Read more
Monty the Mongoose crying
Labelbox has no more discussions with answers