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Best Data Labeling Software for Small Business

Bijou Barry
BB
Researched and written by Bijou Barry

Products classified in the overall Data Labeling category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Data Labeling to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Data Labeling category.

In addition to qualifying for inclusion in the Data Labeling Software category, to qualify for inclusion in the Small Business Data Labeling Software category, a product must have at least 10 reviews left by a reviewer from a small business.

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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17 Listings in Small Business Data Labeling Available

Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-

    Users
    • Founder
    • Researcher
    Industries
    • Computer Software
    • Research
    Market Segment
    • 79% Small-Business
    • 14% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Roboflow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    58
    Annotation Efficiency
    46
    Efficiency
    46
    Data Labelling
    37
    Features
    30
    Cons
    Expensive
    21
    Lack of Features
    18
    Limited Functionality
    16
    Annotation Issues
    14
    Data Limitations
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Roboflow features and usability ratings that predict user satisfaction
    8.9
    Labeler Quality
    Average: 8.9
    9.1
    Object Detection
    Average: 8.9
    8.7
    Data Types
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Roboflow
    Year Founded
    2019
    HQ Location
    Remote, US
    Twitter
    @roboflow
    12,591 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    106 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-

Users
  • Founder
  • Researcher
Industries
  • Computer Software
  • Research
Market Segment
  • 79% Small-Business
  • 14% Mid-Market
Roboflow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
58
Annotation Efficiency
46
Efficiency
46
Data Labelling
37
Features
30
Cons
Expensive
21
Lack of Features
18
Limited Functionality
16
Annotation Issues
14
Data Limitations
11
Roboflow features and usability ratings that predict user satisfaction
8.9
Labeler Quality
Average: 8.9
9.1
Object Detection
Average: 8.9
8.7
Data Types
Average: 8.8
9.2
Ease of Use
Average: 8.8
Seller Details
Seller
Roboflow
Year Founded
2019
HQ Location
Remote, US
Twitter
@roboflow
12,591 Twitter followers
LinkedIn® Page
www.linkedin.com
106 employees on LinkedIn®
(264)4.9 out of 5
Optimized for quick response
1st Easiest To Use in Data Labeling software
View top Consulting Services for SuperAnnotate
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SuperAnnotate bridges the gap between cutting-edge AI innovation and the high-quality human data that powers it - helping advanced AI teams build more intelligent models. With a global network of thou

    Users
    • Student
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 55% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SuperAnnotate Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    48
    Annotation Efficiency
    28
    Customer Support
    22
    User Interface
    20
    Data Labeling
    19
    Cons
    Slow Performance
    7
    Limited Customization
    6
    Performance Issues
    6
    Annotation Issues
    5
    Lack of Resources
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SuperAnnotate features and usability ratings that predict user satisfaction
    9.6
    Labeler Quality
    Average: 8.9
    9.4
    Object Detection
    Average: 8.9
    9.5
    Data Types
    Average: 8.8
    9.5
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    San Francisco, CA
    Twitter
    @superannotate
    696 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SuperAnnotate bridges the gap between cutting-edge AI innovation and the high-quality human data that powers it - helping advanced AI teams build more intelligent models. With a global network of thou

Users
  • Student
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 55% Small-Business
  • 24% Mid-Market
SuperAnnotate Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
48
Annotation Efficiency
28
Customer Support
22
User Interface
20
Data Labeling
19
Cons
Slow Performance
7
Limited Customization
6
Performance Issues
6
Annotation Issues
5
Lack of Resources
5
SuperAnnotate features and usability ratings that predict user satisfaction
9.6
Labeler Quality
Average: 8.9
9.4
Object Detection
Average: 8.9
9.5
Data Types
Average: 8.8
9.5
Ease of Use
Average: 8.8
Seller Details
Company Website
Year Founded
2018
HQ Location
San Francisco, CA
Twitter
@superannotate
696 Twitter followers
LinkedIn® Page
www.linkedin.com
310 employees on LinkedIn®
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle.

    Users
    No information available
    Industries
    • Computer Software
    • Hospital & Health Care
    Market Segment
    • 51% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Encord Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Annotation Efficiency
    11
    Annotation Tools
    11
    Ease of Use
    10
    Image Segmentation
    6
    Team Collaboration
    6
    Cons
    Missing Features
    6
    Lacking Features
    4
    Difficult Navigation
    3
    Lagging Issues
    3
    Latency Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Encord features and usability ratings that predict user satisfaction
    9.4
    Labeler Quality
    Average: 8.9
    9.3
    Object Detection
    Average: 8.9
    9.7
    Data Types
    Average: 8.8
    9.5
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Encord
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @encord_team
    839 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    144 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle.

Users
No information available
Industries
  • Computer Software
  • Hospital & Health Care
Market Segment
  • 51% Small-Business
  • 40% Mid-Market
Encord Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Annotation Efficiency
11
Annotation Tools
11
Ease of Use
10
Image Segmentation
6
Team Collaboration
6
Cons
Missing Features
6
Lacking Features
4
Difficult Navigation
3
Lagging Issues
3
Latency Issues
3
Encord features and usability ratings that predict user satisfaction
9.4
Labeler Quality
Average: 8.9
9.3
Object Detection
Average: 8.9
9.7
Data Types
Average: 8.8
9.5
Ease of Use
Average: 8.8
Seller Details
Seller
Encord
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@encord_team
839 Twitter followers
LinkedIn® Page
www.linkedin.com
144 employees on LinkedIn®
(54)4.8 out of 5
4th Easiest To Use in Data Labeling software
View top Consulting Services for V7 Darwin
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving c

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Small-Business
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • V7 Darwin Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    10
    Annotation Efficiency
    8
    Annotation Tools
    7
    Features
    6
    Efficiency
    5
    Cons
    Lacking Features
    5
    Missing Features
    5
    Limited Features
    3
    Annotation Issues
    2
    Difficult Navigation
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • V7 Darwin features and usability ratings that predict user satisfaction
    9.4
    Labeler Quality
    Average: 8.9
    9.4
    Object Detection
    Average: 8.9
    9.2
    Data Types
    Average: 8.8
    9.5
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    V7
    Year Founded
    2018
    HQ Location
    London, England
    Twitter
    @v7labs
    3,453 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    104 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving c

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Small-Business
  • 35% Mid-Market
V7 Darwin Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
10
Annotation Efficiency
8
Annotation Tools
7
Features
6
Efficiency
5
Cons
Lacking Features
5
Missing Features
5
Limited Features
3
Annotation Issues
2
Difficult Navigation
2
V7 Darwin features and usability ratings that predict user satisfaction
9.4
Labeler Quality
Average: 8.9
9.4
Object Detection
Average: 8.9
9.2
Data Types
Average: 8.8
9.5
Ease of Use
Average: 8.8
Seller Details
Seller
V7
Year Founded
2018
HQ Location
London, England
Twitter
@v7labs
3,453 Twitter followers
LinkedIn® Page
www.linkedin.com
104 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Labelbox Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Data Labeling
    7
    Easy Integrations
    6
    Efficiency
    6
    AI Capabilities
    5
    Cons
    Slow Performance
    3
    Difficult Learning
    2
    Expensive
    2
    Lack of Features
    2
    Limited Customization
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Labelbox features and usability ratings that predict user satisfaction
    9.1
    Labeler Quality
    Average: 8.9
    8.5
    Object Detection
    Average: 8.9
    8.8
    Data Types
    Average: 8.8
    9.0
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Labelbox
    Year Founded
    2018
    HQ Location
    San Francisco, California
    Twitter
    @labelbox
    3,296 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    420 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Small-Business
  • 38% Mid-Market
Labelbox Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Data Labeling
7
Easy Integrations
6
Efficiency
6
AI Capabilities
5
Cons
Slow Performance
3
Difficult Learning
2
Expensive
2
Lack of Features
2
Limited Customization
2
Labelbox features and usability ratings that predict user satisfaction
9.1
Labeler Quality
Average: 8.9
8.5
Object Detection
Average: 8.9
8.8
Data Types
Average: 8.8
9.0
Ease of Use
Average: 8.8
Seller Details
Seller
Labelbox
Year Founded
2018
HQ Location
San Francisco, California
Twitter
@labelbox
3,296 Twitter followers
LinkedIn® Page
www.linkedin.com
420 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Appen collects and labels images, text, speech, audio, video, and other data to create training data used to build and continuously improve the world’s most innovative artificial intelligence systems.

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 56% Small-Business
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Appen Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Useful
    3
    Ease of Use
    2
    Flexibility
    2
    Analytics
    1
    Customization
    1
    Cons
    Work Interruptions
    4
    Low Compensation
    3
    Complexity
    1
    Connectivity Issues
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Appen features and usability ratings that predict user satisfaction
    8.5
    Labeler Quality
    Average: 8.9
    8.7
    Object Detection
    Average: 8.9
    8.8
    Data Types
    Average: 8.8
    8.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Appen
    Year Founded
    1996
    HQ Location
    Kirkland, Washington, United States
    LinkedIn® Page
    www.linkedin.com
    19,630 employees on LinkedIn®
    Ownership
    ASX:APX
    Total Revenue (USD mm)
    $244,900
Product Description
How are these determined?Information
This description is provided by the seller.

Appen collects and labels images, text, speech, audio, video, and other data to create training data used to build and continuously improve the world’s most innovative artificial intelligence systems.

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 56% Small-Business
  • 25% Enterprise
Appen Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Useful
3
Ease of Use
2
Flexibility
2
Analytics
1
Customization
1
Cons
Work Interruptions
4
Low Compensation
3
Complexity
1
Connectivity Issues
1
Difficult Learning
1
Appen features and usability ratings that predict user satisfaction
8.5
Labeler Quality
Average: 8.9
8.7
Object Detection
Average: 8.9
8.8
Data Types
Average: 8.8
8.2
Ease of Use
Average: 8.8
Seller Details
Seller
Appen
Year Founded
1996
HQ Location
Kirkland, Washington, United States
LinkedIn® Page
www.linkedin.com
19,630 employees on LinkedIn®
Ownership
ASX:APX
Total Revenue (USD mm)
$244,900
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Taskmonk is an all-in-one data labeling platform that empowers businesses to train powerful Enterprise-AI models with ease. You can manage data annotation pipelines, leverage human intelligence, conqu

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 72% Small-Business
    • 22% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Taskmonk Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Customer Support
    9
    Efficiency
    6
    Features
    6
    Setup Ease
    6
    Cons
    Lack of Features
    4
    Difficult Learning
    3
    Complexity
    2
    Technical Difficulties
    2
    Upload Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Taskmonk features and usability ratings that predict user satisfaction
    9.3
    Labeler Quality
    Average: 8.9
    9.2
    Object Detection
    Average: 8.9
    9.7
    Data Types
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Taskmonk
    Year Founded
    2018
    HQ Location
    Bengaluru, Karnataka, India
    Twitter
    @TaskmonkAI
    19 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    29 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Taskmonk is an all-in-one data labeling platform that empowers businesses to train powerful Enterprise-AI models with ease. You can manage data annotation pipelines, leverage human intelligence, conqu

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 72% Small-Business
  • 22% Enterprise
Taskmonk Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Customer Support
9
Efficiency
6
Features
6
Setup Ease
6
Cons
Lack of Features
4
Difficult Learning
3
Complexity
2
Technical Difficulties
2
Upload Issues
2
Taskmonk features and usability ratings that predict user satisfaction
9.3
Labeler Quality
Average: 8.9
9.2
Object Detection
Average: 8.9
9.7
Data Types
Average: 8.8
9.2
Ease of Use
Average: 8.8
Seller Details
Seller
Taskmonk
Year Founded
2018
HQ Location
Bengaluru, Karnataka, India
Twitter
@TaskmonkAI
19 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Datature is an AI Vision platform that simplifies computer vision development by unifying data labeling, model training, and deployment into a single workflow. By eliminating the need for fragmented t

    Users
    No information available
    Industries
    • Computer Software
    • Research
    Market Segment
    • 63% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datature Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Annotation Efficiency
    6
    Ease of Use
    6
    Data Labeling
    5
    Data Labelling
    5
    Efficiency
    5
    Cons
    Difficult Learning
    3
    Lack of Features
    2
    Lack of Guidance
    2
    Limited Customization
    2
    Limited Free Access
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datature features and usability ratings that predict user satisfaction
    9.5
    Labeler Quality
    Average: 8.9
    9.9
    Object Detection
    Average: 8.9
    8.9
    Data Types
    Average: 8.8
    9.5
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datature
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @DatatureAI
    168 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    28 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datature is an AI Vision platform that simplifies computer vision development by unifying data labeling, model training, and deployment into a single workflow. By eliminating the need for fragmented t

Users
No information available
Industries
  • Computer Software
  • Research
Market Segment
  • 63% Small-Business
  • 29% Enterprise
Datature Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Annotation Efficiency
6
Ease of Use
6
Data Labeling
5
Data Labelling
5
Efficiency
5
Cons
Difficult Learning
3
Lack of Features
2
Lack of Guidance
2
Limited Customization
2
Limited Free Access
2
Datature features and usability ratings that predict user satisfaction
9.5
Labeler Quality
Average: 8.9
9.9
Object Detection
Average: 8.9
8.9
Data Types
Average: 8.8
9.5
Ease of Use
Average: 8.8
Seller Details
Seller
Datature
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@DatatureAI
168 Twitter followers
LinkedIn® Page
www.linkedin.com
28 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 61% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    13
    Model Variety
    11
    AI Technology
    9
    Ease of Use
    9
    User Interface
    9
    Cons
    Expensive
    8
    Complexity
    4
    Poor UI Design
    4
    UX Improvement
    4
    Difficult Learning
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai features and usability ratings that predict user satisfaction
    8.3
    Labeler Quality
    Average: 8.9
    8.3
    Object Detection
    Average: 8.9
    8.3
    Data Types
    Average: 8.8
    8.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,790 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    93 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 61% Small-Business
  • 27% Mid-Market
Clarifai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
13
Model Variety
11
AI Technology
9
Ease of Use
9
User Interface
9
Cons
Expensive
8
Complexity
4
Poor UI Design
4
UX Improvement
4
Difficult Learning
3
Clarifai features and usability ratings that predict user satisfaction
8.3
Labeler Quality
Average: 8.9
8.3
Object Detection
Average: 8.9
8.3
Data Types
Average: 8.8
8.2
Ease of Use
Average: 8.8
Seller Details
Seller
Clarifai
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,790 Twitter followers
LinkedIn® Page
www.linkedin.com
93 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 57% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Labellerr Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Annotation Efficiency
    3
    Customer Support
    3
    Ease of Use
    3
    Analytics
    2
    Data Labeling
    2
    Cons
    Difficult Setup
    1
    Lacking Features
    1
    Lack of Features
    1
    Limited Customization
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Labellerr features and usability ratings that predict user satisfaction
    9.9
    Labeler Quality
    Average: 8.9
    9.7
    Object Detection
    Average: 8.9
    9.9
    Data Types
    Average: 8.8
    9.6
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Wilmington, Delaware
    Twitter
    @Labellerr1
    114 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 57% Small-Business
  • 38% Mid-Market
Labellerr Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Annotation Efficiency
3
Customer Support
3
Ease of Use
3
Analytics
2
Data Labeling
2
Cons
Difficult Setup
1
Lacking Features
1
Lack of Features
1
Limited Customization
1
Missing Features
1
Labellerr features and usability ratings that predict user satisfaction
9.9
Labeler Quality
Average: 8.9
9.7
Object Detection
Average: 8.9
9.9
Data Types
Average: 8.8
9.6
Ease of Use
Average: 8.8
Seller Details
Year Founded
2017
HQ Location
Wilmington, Delaware
Twitter
@Labellerr1
114 Twitter followers
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Company Overview: CVAT.ai is a global provider of data annotation tools and services, known for developing one of the most popular open-source annotation tools, CVAT. In addition to the open-source

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 58% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CVAT.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Annotation Efficiency
    10
    Ease of Use
    6
    Efficiency
    5
    Collaboration
    4
    Customer Support
    4
    Cons
    Difficult Learning
    4
    Complexity
    2
    Lack of Features
    2
    Annotation Issues
    1
    Difficult Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CVAT.ai features and usability ratings that predict user satisfaction
    9.4
    Labeler Quality
    Average: 8.9
    9.0
    Object Detection
    Average: 8.9
    8.6
    Data Types
    Average: 8.8
    8.9
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CVAT.ai
    Year Founded
    2022
    HQ Location
    Palo Alto, US
    LinkedIn® Page
    www.linkedin.com
    101 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Company Overview: CVAT.ai is a global provider of data annotation tools and services, known for developing one of the most popular open-source annotation tools, CVAT. In addition to the open-source

Users
No information available
Industries
No information available
Market Segment
  • 58% Small-Business
  • 26% Mid-Market
CVAT.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Annotation Efficiency
10
Ease of Use
6
Efficiency
5
Collaboration
4
Customer Support
4
Cons
Difficult Learning
4
Complexity
2
Lack of Features
2
Annotation Issues
1
Difficult Setup
1
CVAT.ai features and usability ratings that predict user satisfaction
9.4
Labeler Quality
Average: 8.9
9.0
Object Detection
Average: 8.9
8.6
Data Types
Average: 8.8
8.9
Ease of Use
Average: 8.8
Seller Details
Seller
CVAT.ai
Year Founded
2022
HQ Location
Palo Alto, US
LinkedIn® Page
www.linkedin.com
101 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    We are a data labeling company that focuses on providing high quality annotation services and excellent customer support. We are the best choice for: Image Annotation Video Annotation Data vali

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 52% Small-Business
    • 22% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Keymakr Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    7
    Quality
    5
    Efficiency
    4
    Annotation Efficiency
    3
    Helpful
    3
    Cons
    Annotation Issues
    3
    Difficult Setup
    2
    Complexity
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Keymakr features and usability ratings that predict user satisfaction
    9.4
    Labeler Quality
    Average: 8.9
    9.7
    Object Detection
    Average: 8.9
    9.7
    Data Types
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Keymakr
    Year Founded
    2015
    HQ Location
    New York, NY
    Twitter
    @keymakr_com
    357 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    63 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We are a data labeling company that focuses on providing high quality annotation services and excellent customer support. We are the best choice for: Image Annotation Video Annotation Data vali

Users
No information available
Industries
  • Computer Software
Market Segment
  • 52% Small-Business
  • 22% Mid-Market
Keymakr Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
7
Quality
5
Efficiency
4
Annotation Efficiency
3
Helpful
3
Cons
Annotation Issues
3
Difficult Setup
2
Complexity
1
Limited Customization
1
Keymakr features and usability ratings that predict user satisfaction
9.4
Labeler Quality
Average: 8.9
9.7
Object Detection
Average: 8.9
9.7
Data Types
Average: 8.8
9.2
Ease of Use
Average: 8.8
Seller Details
Seller
Keymakr
Year Founded
2015
HQ Location
New York, NY
Twitter
@keymakr_com
357 Twitter followers
LinkedIn® Page
www.linkedin.com
63 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataloop Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    5
    Annotation Efficiency
    3
    Annotation Tools
    3
    Easy Integrations
    3
    Integrations
    3
    Cons
    Deployment Delays
    2
    Deployment Issues
    2
    Integration Issues
    2
    Complexity
    1
    Confusing Syntax
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataloop features and usability ratings that predict user satisfaction
    8.8
    Labeler Quality
    Average: 8.9
    9.2
    Object Detection
    Average: 8.9
    9.2
    Data Types
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataloop
    Year Founded
    2017
    HQ Location
    Herzliya, IL
    LinkedIn® Page
    www.linkedin.com
    69 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 32% Small-Business
Dataloop Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
5
Annotation Efficiency
3
Annotation Tools
3
Easy Integrations
3
Integrations
3
Cons
Deployment Delays
2
Deployment Issues
2
Integration Issues
2
Complexity
1
Confusing Syntax
1
Dataloop features and usability ratings that predict user satisfaction
8.8
Labeler Quality
Average: 8.9
9.2
Object Detection
Average: 8.9
9.2
Data Types
Average: 8.8
8.8
Ease of Use
Average: 8.8
Seller Details
Seller
Dataloop
Year Founded
2017
HQ Location
Herzliya, IL
LinkedIn® Page
www.linkedin.com
69 employees on LinkedIn®
(52)4.7 out of 5
Optimized for quick response
5th Easiest To Use in Data Labeling software
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kili Technology is a collaborative AI data platform designed to assist enterprise customers in creating production-ready AI training data. Founded in Paris in 2018, Kili Technology caters to a diverse

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Mid-Market
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kili Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    API Quality
    2
    API Usability
    2
    Collaboration
    2
    Data Labeling
    2
    Data Management
    2
    Cons
    Annotation Issues
    1
    Complex Implementation
    1
    Inefficient Labeling
    1
    Lacking Features
    1
    Lack of Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kili features and usability ratings that predict user satisfaction
    9.2
    Labeler Quality
    Average: 8.9
    9.2
    Object Detection
    Average: 8.9
    9.2
    Data Types
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    Paris, FR
    Twitter
    @Kili_Technology
    448 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    51 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kili Technology is a collaborative AI data platform designed to assist enterprise customers in creating production-ready AI training data. Founded in Paris in 2018, Kili Technology caters to a diverse

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Mid-Market
  • 35% Small-Business
Kili Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
API Quality
2
API Usability
2
Collaboration
2
Data Labeling
2
Data Management
2
Cons
Annotation Issues
1
Complex Implementation
1
Inefficient Labeling
1
Lacking Features
1
Lack of Features
1
Kili features and usability ratings that predict user satisfaction
9.2
Labeler Quality
Average: 8.9
9.2
Object Detection
Average: 8.9
9.2
Data Types
Average: 8.8
8.8
Ease of Use
Average: 8.8
Seller Details
Company Website
Year Founded
2018
HQ Location
Paris, FR
Twitter
@Kili_Technology
448 Twitter followers
LinkedIn® Page
www.linkedin.com
51 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vec

    Users
    No information available
    Industries
    • Research
    Market Segment
    • 95% Small-Business
    • 5% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Segments.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Labeling
    3
    Efficiency
    3
    Features
    3
    Image Segmentation
    3
    Customer Support
    2
    Cons
    Difficult Learning
    3
    Learning Curve
    3
    Annotation Issues
    1
    Lack of Features
    1
    Lack of Guidance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Segments.ai features and usability ratings that predict user satisfaction
    8.9
    Labeler Quality
    Average: 8.9
    8.3
    Object Detection
    Average: 8.9
    8.0
    Data Types
    Average: 8.8
    8.6
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    Leuven, Vlaams-Brabant, Belgium
    Twitter
    @SegmentsAI
    483 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vec

Users
No information available
Industries
  • Research
Market Segment
  • 95% Small-Business
  • 5% Mid-Market
Segments.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Labeling
3
Efficiency
3
Features
3
Image Segmentation
3
Customer Support
2
Cons
Difficult Learning
3
Learning Curve
3
Annotation Issues
1
Lack of Features
1
Lack of Guidance
1
Segments.ai features and usability ratings that predict user satisfaction
8.9
Labeler Quality
Average: 8.9
8.3
Object Detection
Average: 8.9
8.0
Data Types
Average: 8.8
8.6
Ease of Use
Average: 8.8
Seller Details
Year Founded
2020
HQ Location
Leuven, Vlaams-Brabant, Belgium
Twitter
@SegmentsAI
483 Twitter followers
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®