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Best Image Recognition Software - Page 4

Blue Bowen
BB
Researched and written by Blue Bowen

Image recognition software, or computer vision, allows applications to understand images or videos. This software takes images as input, and a computer vision algorithm provides an output, such as a label or bounding box.

Some other aspects of image recognition include image restoration, object recognition, and scene reconstruction. These capabilities are typically embedded inside intelligent applications.

Image recognition software can be used by data scientists to train image recognition models, as well as by developers looking to add image recognition features to other software. The type of user would determine the format in which this software is accessed, whether that be via a machine learning library or framework, an API or SDK, or an end-to-end platform.

This type of software should be distinguished from related forms of software. For example, although data science and machine learning platforms frequently provide tools for training computer vision models, they are broadly focused and not solely geared toward image recognition.

In addition, while image recognition is technically a form of machine learning (ML), the machine learning category is focused on tools, such as software, APIs, SDKs, and frameworks, that provide other ML capabilities like recommendation engines and pattern recognition. Further, software that is specifically designed for the recognition of text can be found in the optical character recognition (OCR) category.

Although many image recognition solutions are multipurpose and allow for the recognition of various types of images and objects, some have particular focuses.

These focuses include logo detection, facial recognition, object detection, and explicit content detection. In addition, some of these products can only handle image files, while others can handle videos as well.

Finally, while most of these tools work in the cloud (i.e., one must send the image to the cloud to be processed), some provide the ability for image processing on the edge or on the device.

To qualify for inclusion in the Image Recognition category, a product must:

Provide a deep learning algorithm specifically for image recognition
Connect with image data pools to learn a specific solution or function
Consume the image data as an input and provide an output
Provide image recognition capabilities to other applications, processes, or services
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Best Image Recognition 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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305 Listings in Image Recognition Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    WiZR is disrupting the video surveillance and analytics market utilizing industry-leading AI and IoT integration in a highly innovative and scalable platform.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • WiZR 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
    3
    Features
    2
    Ease of Use
    1
    User Interface
    1
    Cons
    Navigation Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • WiZR features and usability ratings that predict user satisfaction
    7.5
    Object Detection
    Average: 8.7
    9.2
    Ease of Use
    Average: 8.8
    7.5
    Custom Image Detection
    Average: 8.4
    7.5
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    WiZR
    Year Founded
    2015
    HQ Location
    Santa Monica, US
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

WiZR is disrupting the video surveillance and analytics market utilizing industry-leading AI and IoT integration in a highly innovative and scalable platform.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
WiZR 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
3
Features
2
Ease of Use
1
User Interface
1
Cons
Navigation Issues
1
WiZR features and usability ratings that predict user satisfaction
7.5
Object Detection
Average: 8.7
9.2
Ease of Use
Average: 8.8
7.5
Custom Image Detection
Average: 8.4
7.5
Bounding Boxes
Average: 8.3
Seller Details
Seller
WiZR
Year Founded
2015
HQ Location
Santa Monica, US
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Chooch makes cameras intelligent. The Chooch AI Vision platform combines the power of Generative AI and Computer Vision technology to help businesses gain real-time actionable insights from their vide

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Chooch features and usability ratings that predict user satisfaction
    8.9
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    7.2
    Custom Image Detection
    Average: 8.4
    6.7
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Chooch
    Year Founded
    2015
    HQ Location
    San Mateo, California
    Twitter
    @Chooch_AI
    1,750 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    50 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Chooch makes cameras intelligent. The Chooch AI Vision platform combines the power of Generative AI and Computer Vision technology to help businesses gain real-time actionable insights from their vide

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Chooch features and usability ratings that predict user satisfaction
8.9
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
7.2
Custom Image Detection
Average: 8.4
6.7
Bounding Boxes
Average: 8.3
Seller Details
Seller
Chooch
Year Founded
2015
HQ Location
San Mateo, California
Twitter
@Chooch_AI
1,750 Twitter followers
LinkedIn® Page
www.linkedin.com
50 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.

    CVEDIA develops robust and resilient computer vision algorithms using synthetic data. Our synthetic algorithms are developed in 2-4 weeks for scenarios where data collection isn't viable. CVEDIA is th

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CVEDIA 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 Technology
    2
    Data Privacy
    1
    Object Recognition
    1
    Speed
    1
    Cons
    Limited Customization
    2
    Limited Functionality
    2
    Difficult Learning
    1
    Inaccurate Recognition
    1
    Lack of Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CVEDIA features and usability ratings that predict user satisfaction
    7.8
    Object Detection
    Average: 8.7
    8.9
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    8.9
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CVEDIA
    Year Founded
    2016
    HQ Location
    London, GB
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CVEDIA develops robust and resilient computer vision algorithms using synthetic data. Our synthetic algorithms are developed in 2-4 weeks for scenarios where data collection isn't viable. CVEDIA is th

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
CVEDIA 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 Technology
2
Data Privacy
1
Object Recognition
1
Speed
1
Cons
Limited Customization
2
Limited Functionality
2
Difficult Learning
1
Inaccurate Recognition
1
Lack of Customization
1
CVEDIA features and usability ratings that predict user satisfaction
7.8
Object Detection
Average: 8.7
8.9
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
8.9
Bounding Boxes
Average: 8.3
Seller Details
Seller
CVEDIA
Year Founded
2016
HQ Location
London, GB
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.

    Image Processing is a tool that deals with array2d objects that contain various kinds of pixels or user defined generic image objects.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dlib Image Processing features and usability ratings that predict user satisfaction
    9.2
    Object Detection
    Average: 8.7
    7.8
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    6.7
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DLib
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Image Processing is a tool that deals with array2d objects that contain various kinds of pixels or user defined generic image objects.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Dlib Image Processing features and usability ratings that predict user satisfaction
9.2
Object Detection
Average: 8.7
7.8
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
6.7
Bounding Boxes
Average: 8.3
Seller Details
Seller
DLib
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Automate Analytics With Deep Learning For Faster, More Accurate Results The ENVI® Deep Learning module (formerly MEGA) removes the barriers to performing deep learning with geospatial data and is cur

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ENVI Deep Learning features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1947
    HQ Location
    Hollywood, Florida, United States
    Twitter
    @NV5_inc
    1,003 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,325 employees on LinkedIn®
    Ownership
    NASDAQ: NVEE
Product Description
How are these determined?Information
This description is provided by the seller.

Automate Analytics With Deep Learning For Faster, More Accurate Results The ENVI® Deep Learning module (formerly MEGA) removes the barriers to performing deep learning with geospatial data and is cur

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
ENVI Deep Learning features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1947
HQ Location
Hollywood, Florida, United States
Twitter
@NV5_inc
1,003 Twitter followers
LinkedIn® Page
www.linkedin.com
3,325 employees on LinkedIn®
Ownership
NASDAQ: NVEE
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data that leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive m

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Nilearn features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Nilearn
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data that leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive m

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Small-Business
Nilearn features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Seller
Nilearn
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 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
    8.3
    Object Detection
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • 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
8.3
Object Detection
Average: 8.7
8.3
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
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.

    Vize.ai AI is custom image recognition and classification API, designed to allow developers and businesses to analyze image data.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Vize.ai - Custom Image Classification 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 Technology
    1
    Annotation Efficiency
    1
    Ease of Use
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vize.ai - Custom Image Classification features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    9.4
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Vize
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Vize.ai AI is custom image recognition and classification API, designed to allow developers and businesses to analyze image data.

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Vize.ai - Custom Image Classification 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 Technology
1
Annotation Efficiency
1
Ease of Use
1
Cons
This product has not yet received any negative sentiments.
Vize.ai - Custom Image Classification features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
9.4
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
Vize
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AForge.NET features and usability ratings that predict user satisfaction
    0.0
    No information available
    6.7
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
AForge.NET features and usability ratings that predict user satisfaction
0.0
No information available
6.7
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ascender AI LLC was founded in 2019 by a visionary research scientist and two well established AI entrepreneurs.  Braddock Gaskill, the CEO, has over 25 years of experience in AI and machine learning.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AscenderAI 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
    Accuracy
    2
    AI Technology
    1
    Speed
    1
    Cons
    Accuracy Issues
    1
    Limited Functionality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AscenderAI features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    10.0
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ascender AI LLC was founded in 2019 by a visionary research scientist and two well established AI entrepreneurs.  Braddock Gaskill, the CEO, has over 25 years of experience in AI and machine learning.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
AscenderAI 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
Accuracy
2
AI Technology
1
Speed
1
Cons
Accuracy Issues
1
Limited Functionality
1
AscenderAI features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
10.0
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure AI Video Indexer is a cloud and edge video analytics service that uses AI to extract actionable insights from stored videos. Enhance ad insertion, digital asset management, and media libraries b

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure AI Video Indexer 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
    2
    Automation
    1
    Facial Recognition
    1
    Object Recognition
    1
    Cons
    Expensive
    1
    Privacy Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure AI Video Indexer features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.8
    10.0
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,090,087 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure AI Video Indexer is a cloud and edge video analytics service that uses AI to extract actionable insights from stored videos. Enhance ad insertion, digital asset management, and media libraries b

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Azure AI Video Indexer 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
2
Automation
1
Facial Recognition
1
Object Recognition
1
Cons
Expensive
1
Privacy Issues
1
Azure AI Video Indexer features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
8.3
Ease of Use
Average: 8.8
10.0
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,090,087 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CraftAR by Catchoom is an image recognition and augmented reality platform for mobile and web applications.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Catchoom CraftAR Image Recognition & Augmented Reality features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    6.7
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Partium
    Year Founded
    2020
    HQ Location
    Philadelphia, US
    Twitter
    @partiumio
    2,114 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    42 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CraftAR by Catchoom is an image recognition and augmented reality platform for mobile and web applications.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Catchoom CraftAR Image Recognition & Augmented Reality features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
6.7
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
Partium
Year Founded
2020
HQ Location
Philadelphia, US
Twitter
@partiumio
2,114 Twitter followers
LinkedIn® Page
www.linkedin.com
42 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
    Object Detection
    Average: 8.7
    9.2
    Ease of Use
    Average: 8.8
    6.7
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • 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
Object Detection
Average: 8.7
9.2
Ease of Use
Average: 8.8
6.7
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
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.

    Eblearn is an object-oriented C++ library that implements various machine learning models, including energy-based learning, gradient-based learning for machine composed of multiple heterogeneous modul

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EBLearn features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    9.2
    Ease of Use
    Average: 8.8
    9.2
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EBLearn
    HQ Location
    New York, NY
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Eblearn is an object-oriented C++ library that implements various machine learning models, including energy-based learning, gradient-based learning for machine composed of multiple heterogeneous modul

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
EBLearn features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
9.2
Ease of Use
Average: 8.8
9.2
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
EBLearn
HQ Location
New York, NY
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Face Recognition SDK is designed to be efficient, using low memory and delivering high performance. This solution stands for face recognition, facial recognition, face liveness check, spoofing pr

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • KBY-AI Face Recognition features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    10.0
    Custom Image Detection
    Average: 8.4
    10.0
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    KBY-AI
    Year Founded
    2020
    HQ Location
    Essex, GB
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Face Recognition SDK is designed to be efficient, using low memory and delivering high performance. This solution stands for face recognition, facial recognition, face liveness check, spoofing pr

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
KBY-AI Face Recognition features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
10.0
Custom Image Detection
Average: 8.4
10.0
Bounding Boxes
Average: 8.3
Seller Details
Seller
KBY-AI
Year Founded
2020
HQ Location
Essex, GB
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®