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Best Data Labeling Software - Page 3

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Researched and written by Sohan Pal

Data labeling software are an artificial intelligence tools that supervises data management, training data, model versioning, data sourcing, data annotation, quality control, and model production for data science and machine learning teams. These tools source, manage, label, train, and classify unstructured data such as texts, videos, images, audio, or PDF into labeled datasets to create efficient training data pipelines.

Data labeling, also known as data annotation tools or data tagging, is a building block for an AI development lifecycle for businesses. Businesses deploy data labeling software for industry-based applications like ML model generation, fine-tuning large language models (LLM), evaluating LLMs, computer vision, image segmentation, API calls, object detection, and tracking, named entity recognition, OCR, and text recognition. These AI models reduce the classification challenges for data science and machine learning teams and improve AI data management workflows to build efficient machine learning products.

Businesses use data labeling tools to label text data, audio files, images, and videos and gather real-time feedback from customers, stakeholders, and decision-makers to upgrade products. These tools are also used for sentimental analysis, question answering, speech recognition, and content generation. Data labeling tools can be integrated with generative AI software, project management software, MLOPs platforms, data science and machine learning platforms, LLM software, and active learning tools to label data, pre-train models, assure quality control, and operationalize ML production.

Additionally, these products provide security, provisioning, and governing capabilities to ensure only those authorized to make version changes or deployment adjustments can do so. These data labeling tools can differ in what part of the machine learning journey or workflow they focus on, including explainability, model testing, model validation, feature engineering, model risk, model selection, model monitoring, and experiment tracking. The ultimate goal of a data labeling platform is to build agile, precise, and cost-effective data training pipelines to enhance model response accuracy.

To qualify for inclusion in the Data Labeling category, a product must:

Integrate a managed workforce and/or data labeling service
Ensure labels are accurate and consistent
Give the user the ability to view analytics that monitor the accuracy and/or speed of labeling
Allow the annotated data to be integrated into data science and machine learning platforms to build machine learning models
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Best Data Labeling Software At A Glance

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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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87 Listings in Data Labeling Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Only AI Assistant for Self Storage. 80% of your repetitive tasks on autopilot. swivl augments your existing team to understand what works and automatically tune property-level decisions every day

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 88% Mid-Market
    • 19% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Swivl features and usability ratings that predict user satisfaction
    7.6
    Labeler Quality
    Average: 8.9
    7.7
    Object Detection
    Average: 8.9
    7.9
    Data Types
    Average: 8.8
    8.0
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Swivl
    Year Founded
    2018
    HQ Location
    Atlanta, Georgia
    Twitter
    @tryswivl
    446 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Only AI Assistant for Self Storage. 80% of your repetitive tasks on autopilot. swivl augments your existing team to understand what works and automatically tune property-level decisions every day

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 88% Mid-Market
  • 19% Small-Business
Swivl features and usability ratings that predict user satisfaction
7.6
Labeler Quality
Average: 8.9
7.7
Object Detection
Average: 8.9
7.9
Data Types
Average: 8.8
8.0
Ease of Use
Average: 8.8
Seller Details
Seller
Swivl
Year Founded
2018
HQ Location
Atlanta, Georgia
Twitter
@tryswivl
446 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Predictly Tech Labs aims to enhance the usage and adoption of Artificial Intelligence technologies into different industries to experience its benefits in their products and services. For this reason,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 53% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Predictly features and usability ratings that predict user satisfaction
    8.6
    Labeler Quality
    Average: 8.9
    6.7
    Object Detection
    Average: 8.9
    7.2
    Data Types
    Average: 8.8
    8.0
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    Bangalore, IN
    Twitter
    @prdictly
    518 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Predictly Tech Labs aims to enhance the usage and adoption of Artificial Intelligence technologies into different industries to experience its benefits in their products and services. For this reason,

Users
No information available
Industries
No information available
Market Segment
  • 53% Enterprise
  • 33% Mid-Market
Predictly features and usability ratings that predict user satisfaction
8.6
Labeler Quality
Average: 8.9
6.7
Object Detection
Average: 8.9
7.2
Data Types
Average: 8.8
8.0
Ease of Use
Average: 8.8
Seller Details
Year Founded
2015
HQ Location
Bangalore, IN
Twitter
@prdictly
518 Twitter followers
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Jaxon’s an AI platform that guides data science teams through the research-design-build process. It combines formal reasoning with an LLM-driven agent to ensure data science teams adhere to best pract

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 58% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Jaxon.ai features and usability ratings that predict user satisfaction
    8.1
    Labeler Quality
    Average: 8.9
    8.0
    Object Detection
    Average: 8.9
    8.1
    Data Types
    Average: 8.8
    7.9
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Jaxon.AI
    Year Founded
    2017
    HQ Location
    Boston, US
    LinkedIn® Page
    www.linkedin.com
    29 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Jaxon’s an AI platform that guides data science teams through the research-design-build process. It combines formal reasoning with an LLM-driven agent to ensure data science teams adhere to best pract

Users
No information available
Industries
No information available
Market Segment
  • 58% Small-Business
  • 25% Mid-Market
Jaxon.ai features and usability ratings that predict user satisfaction
8.1
Labeler Quality
Average: 8.9
8.0
Object Detection
Average: 8.9
8.1
Data Types
Average: 8.8
7.9
Ease of Use
Average: 8.8
Seller Details
Seller
Jaxon.AI
Year Founded
2017
HQ Location
Boston, US
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.

    For organizations driving advancements in traditional AI and generative AI, iMerit delivers comprehensive, software-delivered solutions that encompass high-quality data annotation, enrichment, and mod

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • iMerit Ango Hub Multimodal AI Platform 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
    AI Integration
    1
    Annotation Efficiency
    1
    Customization
    1
    Data Accuracy
    1
    Machine Learning
    1
    Cons
    Complexity
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • iMerit Ango Hub Multimodal AI Platform features and usability ratings that predict user satisfaction
    6.7
    Labeler Quality
    Average: 8.9
    6.7
    Object Detection
    Average: 8.9
    6.7
    Data Types
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    San Jose, US
    Twitter
    @iMeritDigital
    1,437 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6,415 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

For organizations driving advancements in traditional AI and generative AI, iMerit delivers comprehensive, software-delivered solutions that encompass high-quality data annotation, enrichment, and mod

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 25% Enterprise
iMerit Ango Hub Multimodal AI Platform 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
AI Integration
1
Annotation Efficiency
1
Customization
1
Data Accuracy
1
Machine Learning
1
Cons
Complexity
1
Steep Learning Curve
1
iMerit Ango Hub Multimodal AI Platform features and usability ratings that predict user satisfaction
6.7
Labeler Quality
Average: 8.9
6.7
Object Detection
Average: 8.9
6.7
Data Types
Average: 8.8
8.3
Ease of Use
Average: 8.8
Seller Details
Year Founded
2012
HQ Location
San Jose, US
Twitter
@iMeritDigital
1,437 Twitter followers
LinkedIn® Page
www.linkedin.com
6,415 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Model assisted image and video training data labeling for radiology, pathology and other forms of medical data used for building machine learning models. The #1 tool trusted by medical companies, rese

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Small-Business
    • 30% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TrainingData.io features and usability ratings that predict user satisfaction
    7.8
    Labeler Quality
    Average: 8.9
    9.0
    Object Detection
    Average: 8.9
    8.3
    Data Types
    Average: 8.8
    7.1
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Palo Alto, California
    Twitter
    @TrainingDataIO
    5 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Model assisted image and video training data labeling for radiology, pathology and other forms of medical data used for building machine learning models. The #1 tool trusted by medical companies, rese

Users
No information available
Industries
No information available
Market Segment
  • 60% Small-Business
  • 30% Mid-Market
TrainingData.io features and usability ratings that predict user satisfaction
7.8
Labeler Quality
Average: 8.9
9.0
Object Detection
Average: 8.9
8.3
Data Types
Average: 8.8
7.1
Ease of Use
Average: 8.8
Seller Details
Year Founded
2021
HQ Location
Palo Alto, California
Twitter
@TrainingDataIO
5 Twitter followers
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Supervisely Enterprise is fully self-hosted and cloud frendly: install it on your servers or in the cloud, keep everything private. We provide API, SDK and backend source codes. So it is highly custom

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 40% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Supervisely Computer Vision Platform features and usability ratings that predict user satisfaction
    9.0
    Labeler Quality
    Average: 8.9
    8.3
    Object Detection
    Average: 8.9
    9.3
    Data Types
    Average: 8.8
    10.0
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Tallinn, Harjumaa
    Twitter
    @supervisely_ai
    119 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.

Supervisely Enterprise is fully self-hosted and cloud frendly: install it on your servers or in the cloud, keep everything private. We provide API, SDK and backend source codes. So it is highly custom

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 40% Mid-Market
  • 40% Small-Business
Supervisely Computer Vision Platform features and usability ratings that predict user satisfaction
9.0
Labeler Quality
Average: 8.9
8.3
Object Detection
Average: 8.9
9.3
Data Types
Average: 8.8
10.0
Ease of Use
Average: 8.8
Seller Details
Year Founded
2017
HQ Location
Tallinn, Harjumaa
Twitter
@supervisely_ai
119 Twitter followers
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for la

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Superb AI Suite features and usability ratings that predict user satisfaction
    9.7
    Labeler Quality
    Average: 8.9
    9.0
    Object Detection
    Average: 8.9
    9.0
    Data Types
    Average: 8.8
    9.3
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    San Mateo , US
    Twitter
    @superb_hq
    425 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for la

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Superb AI Suite features and usability ratings that predict user satisfaction
9.7
Labeler Quality
Average: 8.9
9.0
Object Detection
Average: 8.9
9.0
Data Types
Average: 8.8
9.3
Ease of Use
Average: 8.8
Seller Details
Year Founded
2018
HQ Location
San Mateo , US
Twitter
@superb_hq
425 Twitter followers
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    M47 AI is a powerful AI Data Training platform for Natural Language Processing projects. It is designed to simplify, speed up and consolidate the dataset lifecycle for Machine Learning and NLP based

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • M47 AI features and usability ratings that predict user satisfaction
    10.0
    Labeler Quality
    Average: 8.9
    10.0
    Object Detection
    Average: 8.9
    10.0
    Data Types
    Average: 8.8
    10.0
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    M47 Labs
    Year Founded
    2018
    HQ Location
    Barcelona, ES
    Twitter
    @M47Labs
    68 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    190 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

M47 AI is a powerful AI Data Training platform for Natural Language Processing projects. It is designed to simplify, speed up and consolidate the dataset lifecycle for Machine Learning and NLP based

Users
No information available
Industries
No information available
Market Segment
  • 40% Mid-Market
  • 40% Small-Business
M47 AI features and usability ratings that predict user satisfaction
10.0
Labeler Quality
Average: 8.9
10.0
Object Detection
Average: 8.9
10.0
Data Types
Average: 8.8
10.0
Ease of Use
Average: 8.8
Seller Details
Seller
M47 Labs
Year Founded
2018
HQ Location
Barcelona, ES
Twitter
@M47Labs
68 Twitter followers
LinkedIn® Page
www.linkedin.com
190 employees on LinkedIn®
(4)5.0 out of 5
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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.

    Standard, Safe, Flexible AI Data Annotation, Catalog, & Workflow

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Diffgram Training Data Software features and usability ratings that predict user satisfaction
    9.4
    Labeler Quality
    Average: 8.9
    10.0
    Object Detection
    Average: 8.9
    9.4
    Data Types
    Average: 8.8
    9.6
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Diffgram
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @diffgram
    93 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.

Standard, Safe, Flexible AI Data Annotation, Catalog, & Workflow

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Diffgram Training Data Software features and usability ratings that predict user satisfaction
9.4
Labeler Quality
Average: 8.9
10.0
Object Detection
Average: 8.9
9.4
Data Types
Average: 8.8
9.6
Ease of Use
Average: 8.8
Seller Details
Seller
Diffgram
Year Founded
2018
HQ Location
N/A
Twitter
@diffgram
93 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.

    DagsHub is a platform that allows you to easily create high-quality datasets for better model performance A single AI platform to curate vision, audio, and document data - automate labeling workflo

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Small-Business
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DagsHub 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 Management
    12
    Model Management
    12
    Collaboration
    11
    Features
    10
    Integrated Platform
    10
    Cons
    Limited Functionality
    2
    Error Handling
    1
    Expensive
    1
    Limited Customization
    1
    Limited Free Access
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DagsHub features and usability ratings that predict user satisfaction
    10.0
    Labeler Quality
    Average: 8.9
    10.0
    Object Detection
    Average: 8.9
    10.0
    Data Types
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DagsHub
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    14 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DagsHub is a platform that allows you to easily create high-quality datasets for better model performance A single AI platform to curate vision, audio, and document data - automate labeling workflo

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Small-Business
  • 43% Mid-Market
DagsHub 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 Management
12
Model Management
12
Collaboration
11
Features
10
Integrated Platform
10
Cons
Limited Functionality
2
Error Handling
1
Expensive
1
Limited Customization
1
Limited Free Access
1
DagsHub features and usability ratings that predict user satisfaction
10.0
Labeler Quality
Average: 8.9
10.0
Object Detection
Average: 8.9
10.0
Data Types
Average: 8.8
9.2
Ease of Use
Average: 8.8
Seller Details
Seller
DagsHub
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
14 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Keylabs is a state-of-the-art labeling platform for images and videos that boosts up the process of preparing visual data for machine learning. Our annotation platform is built with user in mind. Jus

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • KeyLabs features and usability ratings that predict user satisfaction
    9.2
    Labeler Quality
    Average: 8.9
    10.0
    Object Detection
    Average: 8.9
    10.0
    Data Types
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Keylabs
    HQ Location
    Holon, IL
    Twitter
    @KeylabsA
    49 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Keylabs is a state-of-the-art labeling platform for images and videos that boosts up the process of preparing visual data for machine learning. Our annotation platform is built with user in mind. Jus

Users
No information available
Industries
No information available
Market Segment
  • 33% Small-Business
  • 33% Mid-Market
KeyLabs features and usability ratings that predict user satisfaction
9.2
Labeler Quality
Average: 8.9
10.0
Object Detection
Average: 8.9
10.0
Data Types
Average: 8.8
9.2
Ease of Use
Average: 8.8
Seller Details
Seller
Keylabs
HQ Location
Holon, IL
Twitter
@KeylabsA
49 Twitter followers
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SentiSight.ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. It has two major goals: the first is to make the image annotation

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SentiSight.ai features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    8.3
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1990
    HQ Location
    Vilnius, LT
    Twitter
    @StockGeist
    279 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    89 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SentiSight.ai is a web-based platform that can be used for image labeling and for developing AI-based image recognition applications. It has two major goals: the first is to make the image annotation

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
SentiSight.ai features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
8.3
Ease of Use
Average: 8.8
Seller Details
Year Founded
1990
HQ Location
Vilnius, LT
Twitter
@StockGeist
279 Twitter followers
LinkedIn® Page
www.linkedin.com
89 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Everything you need to go from pixels to value

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CrowdAI features and usability ratings that predict user satisfaction
    10.0
    Labeler Quality
    Average: 8.9
    8.3
    Object Detection
    Average: 8.9
    10.0
    Data Types
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CrowdAI
    Year Founded
    2016
    HQ Location
    San Francisco, US
    Twitter
    @CrowdAIinc
    264 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Everything you need to go from pixels to value

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Enterprise
CrowdAI features and usability ratings that predict user satisfaction
10.0
Labeler Quality
Average: 8.9
8.3
Object Detection
Average: 8.9
10.0
Data Types
Average: 8.8
9.2
Ease of Use
Average: 8.8
Seller Details
Seller
CrowdAI
Year Founded
2016
HQ Location
San Francisco, US
Twitter
@CrowdAIinc
264 Twitter followers
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Heartex is an annotations management system with UI configurable for your specific needs. Start using it and minimize the amount of time your entire team spends on preparing, analyzing, and labeling d

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Heartex features and usability ratings that predict user satisfaction
    6.7
    Labeler Quality
    Average: 8.9
    6.7
    Object Detection
    Average: 8.9
    6.7
    Data Types
    Average: 8.8
    6.7
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Heartex
    Year Founded
    2019
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    51 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Heartex is an annotations management system with UI configurable for your specific needs. Start using it and minimize the amount of time your entire team spends on preparing, analyzing, and labeling d

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Enterprise
Heartex features and usability ratings that predict user satisfaction
6.7
Labeler Quality
Average: 8.9
6.7
Object Detection
Average: 8.9
6.7
Data Types
Average: 8.8
6.7
Ease of Use
Average: 8.8
Seller Details
Seller
Heartex
Year Founded
2019
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
51 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.

    NLP Lab (previously known as Annotation Lab) is a Free End-to-End No-Code platform for document labeling and AI/ML model training. It enables domain experts - nurses, doctors, lawyers, accountants, in

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NLP Lab features and usability ratings that predict user satisfaction
    8.3
    Labeler Quality
    Average: 8.9
    8.3
    Object Detection
    Average: 8.9
    6.7
    Data Types
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    Lewes, US
    Twitter
    @JohnSnowLabs
    44,648 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    98 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

NLP Lab (previously known as Annotation Lab) is a Free End-to-End No-Code platform for document labeling and AI/ML model training. It enables domain experts - nurses, doctors, lawyers, accountants, in

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
NLP Lab features and usability ratings that predict user satisfaction
8.3
Labeler Quality
Average: 8.9
8.3
Object Detection
Average: 8.9
6.7
Data Types
Average: 8.8
8.3
Ease of Use
Average: 8.8
Seller Details
Year Founded
2015
HQ Location
Lewes, US
Twitter
@JohnSnowLabs
44,648 Twitter followers
LinkedIn® Page
www.linkedin.com
98 employees on LinkedIn®