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Best Data Labeling Software for Small Business

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Researched and written by Sohan Pal

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

(108)4.7 out of 5
1st Easiest To Use in Data Labeling software
Save to My Lists
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
    Industries
    • Computer Software
    • Research
    Market Segment
    • 77% Small-Business
    • 15% 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
    57
    Efficiency
    44
    Annotation Efficiency
    43
    Data Labelling
    34
    Features
    28
    Cons
    Expensive
    20
    Lack of Features
    17
    Limited Functionality
    15
    Annotation Issues
    11
    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
    8.6
    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
    12,026 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    91 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
Industries
  • Computer Software
  • Research
Market Segment
  • 77% Small-Business
  • 15% 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
57
Efficiency
44
Annotation Efficiency
43
Data Labelling
34
Features
28
Cons
Expensive
20
Lack of Features
17
Limited Functionality
15
Annotation Issues
11
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
8.6
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
12,026 Twitter followers
LinkedIn® Page
www.linkedin.com
91 employees on LinkedIn®
(182)4.9 out of 5
Optimized for quick response
2nd Easiest To Use in Data Labeling software
View top Consulting Services for SuperAnnotate
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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.

    SuperAnnotate is the expert in the loop data platform for building and scaling domain-specific, multimodal AI models. Customizable annotation interfaces and AI-powered automations let your experts con

    Users
    • Student
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 64% 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
    43
    Annotation Efficiency
    27
    Customer Support
    19
    User Interface
    18
    Data Labeling
    17
    Cons
    Annotation Issues
    5
    Lack of Resources
    5
    Limited Customization
    5
    Difficult Learning
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SuperAnnotate features and usability ratings that predict user satisfaction
    9.7
    Labeler Quality
    Average: 8.9
    9.4
    Object Detection
    Average: 8.9
    9.5
    Data Types
    Average: 8.8
    9.6
    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
    685 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    285 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SuperAnnotate is the expert in the loop data platform for building and scaling domain-specific, multimodal AI models. Customizable annotation interfaces and AI-powered automations let your experts con

Users
  • Student
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 64% 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
43
Annotation Efficiency
27
Customer Support
19
User Interface
18
Data Labeling
17
Cons
Annotation Issues
5
Lack of Resources
5
Limited Customization
5
Difficult Learning
4
Learning Curve
4
SuperAnnotate features and usability ratings that predict user satisfaction
9.7
Labeler Quality
Average: 8.9
9.4
Object Detection
Average: 8.9
9.5
Data Types
Average: 8.8
9.6
Ease of Use
Average: 8.8
Seller Details
Company Website
Year Founded
2018
HQ Location
San Francisco, CA
Twitter
@superannotate
685 Twitter followers
LinkedIn® Page
www.linkedin.com
285 employees on LinkedIn®

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(54)4.8 out of 5
3rd Easiest To Use in Data Labeling software
View top Consulting Services for V7 Darwin
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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
    3,424 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    102 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
3,424 Twitter followers
LinkedIn® Page
www.linkedin.com
102 employees on LinkedIn®
(47)4.5 out of 5
View top Consulting Services for Labelbox
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  • 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
    7
    Efficiency
    6
    Features
    6
    Cons
    Slow Performance
    3
    Slow Processing
    3
    Difficult Learning
    2
    Expensive
    2
    Lack of Features
    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
    3,164 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    356 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
7
Efficiency
6
Features
6
Cons
Slow Performance
3
Slow Processing
3
Difficult Learning
2
Expensive
2
Lack of Features
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
3,164 Twitter followers
LinkedIn® Page
www.linkedin.com
356 employees on LinkedIn®
(62)4.8 out of 5
7th Easiest To Use in Data Labeling software
Save to My Lists
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 multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, DICOM, and LiDAR / 3D point cloud files on

    Users
    No information available
    Industries
    • Computer Software
    • Hospital & Health Care
    Market Segment
    • 50% 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
    10
    Annotation Tools
    10
    Ease of Use
    10
    Team Collaboration
    6
    Image Segmentation
    5
    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
    684 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    127 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, DICOM, and LiDAR / 3D point cloud files on

Users
No information available
Industries
  • Computer Software
  • Hospital & Health Care
Market Segment
  • 50% 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
10
Annotation Tools
10
Ease of Use
10
Team Collaboration
6
Image Segmentation
5
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
684 Twitter followers
LinkedIn® Page
www.linkedin.com
127 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
    Flexibility
    2
    Useful
    2
    Analytics
    1
    Customization
    1
    Data Accuracy
    1
    Cons
    Low Compensation
    3
    Work Interruptions
    3
    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
    19,244 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
Flexibility
2
Useful
2
Analytics
1
Customization
1
Data Accuracy
1
Cons
Low Compensation
3
Work Interruptions
3
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
19,244 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
    21 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
21 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
    2
    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
    163 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    27 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
2
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
163 Twitter followers
LinkedIn® Page
www.linkedin.com
27 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
    105 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
105 Twitter followers
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
(90)4.4 out of 5
4th Easiest To Use in Data Labeling software
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  • 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
    73 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
73 employees on LinkedIn®
Entry Level Price:Free
  • 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
    • 62% Small-Business
    • 26% 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
    10,841 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    94 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
  • 62% Small-Business
  • 26% 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
10,841 Twitter followers
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
Entry Level Price:Pay As You Go
  • 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
    5
    Quality
    5
    Annotation Efficiency
    2
    Data Accuracy
    2
    Data Management
    2
    Cons
    Annotation Issues
    2
    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
    356 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    58 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
5
Quality
5
Annotation Efficiency
2
Data Accuracy
2
Data Management
2
Cons
Annotation Issues
2
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
356 Twitter followers
LinkedIn® Page
www.linkedin.com
58 employees on LinkedIn®
(18)4.6 out of 5
View top Consulting Services for CVAT.ai
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  • 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
    • 56% Small-Business
    • 28% 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
    8.7
    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
    88 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
  • 56% Small-Business
  • 28% 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
8.7
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
88 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kili Technology is a comprehensive labeling tool where you can label your training data fast, find and fix issues in your dataset, and simplify your labeling operations. Kili Technology dramatically a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Mid-Market
    • 38% 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
    Year Founded
    2018
    HQ Location
    Paris, FR
    Twitter
    @Kili_Technology
    444 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kili Technology is a comprehensive labeling tool where you can label your training data fast, find and fix issues in your dataset, and simplify your labeling operations. Kili Technology dramatically a

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Mid-Market
  • 38% 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
Year Founded
2018
HQ Location
Paris, FR
Twitter
@Kili_Technology
444 Twitter followers
LinkedIn® Page
www.linkedin.com
40 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
    11 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
11 employees on LinkedIn®