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Best Image Recognition Software with Machine Learning Libraries & Frameworks Capabilities

Below are the top-rated Image Recognition Software with Machine Learning Libraries & Frameworks capabilities, as verified by G2’s Research team. Real users have identified Machine Learning Libraries & Frameworks as an important function of Image Recognition Software. Compare different products that offer this feature so you can decide which is best for your business needs.

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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14 Listings in Image Recognition Available
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Small-Business
    • 20% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Gesture Recognition Toolkit 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
    3
    Tool Efficiency
    3
    AI Technology
    2
    Customer Support
    2
    Features
    2
    Cons
    Complexity
    1
    Deployment Delays
    1
    Difficult Learning
    1
    Lack of Resources
    1
    Lagging Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gesture Recognition Toolkit features and usability ratings that predict user satisfaction
    8.6
    Object Detection
    Average: 8.7
    9.4
    Ease of Use
    Average: 8.7
    9.4
    Custom Image Detection
    Average: 8.6
    8.3
    Bounding Boxes
    Average: 8.5
  • Seller Details
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  • Seller Details
    HQ Location
    Moutain View, CA
Product Description
How are these determined?Information
This description is provided by the seller.

Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

Users
No information available
Industries
No information available
Market Segment
  • 60% Small-Business
  • 20% Mid-Market
Gesture Recognition Toolkit 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
3
Tool Efficiency
3
AI Technology
2
Customer Support
2
Features
2
Cons
Complexity
1
Deployment Delays
1
Difficult Learning
1
Lack of Resources
1
Lagging Issues
1
Gesture Recognition Toolkit features and usability ratings that predict user satisfaction
8.6
Object Detection
Average: 8.7
9.4
Ease of Use
Average: 8.7
9.4
Custom Image Detection
Average: 8.6
8.3
Bounding Boxes
Average: 8.5
Seller Details
HQ Location
Moutain View, CA
(13)4.4 out of 5
10th Easiest To Use in Image Recognition software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    scikit-image is a collection of algorithms for image processing.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 38% Enterprise
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • scikit-image features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    8.8
    Ease of Use
    Average: 8.7
    0.0
    No information available
    8.3
    Bounding Boxes
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    44 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

scikit-image is a collection of algorithms for image processing.

Users
No information available
Industries
No information available
Market Segment
  • 38% Enterprise
  • 31% Mid-Market
scikit-image features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
8.8
Ease of Use
Average: 8.7
0.0
No information available
8.3
Bounding Boxes
Average: 8.5
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
44 employees on LinkedIn®

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(39)4.5 out of 5
7th Easiest To Use in Image Recognition software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OpenCV is a tool that has has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android for computational efficiency and with a strong focus on real-time applications, wr

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenCV features and usability ratings that predict user satisfaction
    9.2
    Object Detection
    Average: 8.7
    7.8
    Ease of Use
    Average: 8.7
    8.3
    Custom Image Detection
    Average: 8.6
    8.3
    Bounding Boxes
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenCV
    Year Founded
    2000
    HQ Location
    N/A
    Twitter
    @opencvlibrary
    11,867 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    61 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OpenCV is a tool that has has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android for computational efficiency and with a strong focus on real-time applications, wr

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Small-Business
  • 31% Enterprise
OpenCV features and usability ratings that predict user satisfaction
9.2
Object Detection
Average: 8.7
7.8
Ease of Use
Average: 8.7
8.3
Custom Image Detection
Average: 8.6
8.3
Bounding Boxes
Average: 8.5
Seller Details
Seller
OpenCV
Year Founded
2000
HQ Location
N/A
Twitter
@opencvlibrary
11,867 Twitter followers
LinkedIn® Page
www.linkedin.com
61 employees on LinkedIn®
(10)4.5 out of 5
1st Easiest To Use in Image Recognition software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SimpleCV is an open source framework for building computer vision applications, user can get access to several high-powered computer vision libraries such as OpenCV without having to learn about bit d

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SimpleCV features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.0
    Ease of Use
    Average: 8.7
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @sightmachine
    1,160 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    67 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SimpleCV is an open source framework for building computer vision applications, user can get access to several high-powered computer vision libraries such as OpenCV without having to learn about bit d

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Mid-Market
  • 40% Small-Business
SimpleCV features and usability ratings that predict user satisfaction
0.0
No information available
9.0
Ease of Use
Average: 8.7
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@sightmachine
1,160 Twitter followers
LinkedIn® Page
www.linkedin.com
67 employees on LinkedIn®
(12)4.1 out of 5
11th Easiest To Use in Image Recognition software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible code

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 67% Small-Business
    • 17% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DeepPy features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Ease of Use
    Average: 8.7
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DeepPy
    HQ Location
    N/A
    Twitter
    @deeppy
    679 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible code

Users
No information available
Industries
  • Computer Software
Market Segment
  • 67% Small-Business
  • 17% Enterprise
DeepPy features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Ease of Use
Average: 8.7
0.0
No information available
0.0
No information available
Seller Details
Seller
DeepPy
HQ Location
N/A
Twitter
@deeppy
679 Twitter followers
By CCV
(7)4.1 out of 5
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CCV is a open source/cross-platform solution for blob tracking with computer vision. that can interface with various web cameras and video devices as well as connect to various TUIO/OSC/XML enabled ap

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 86% Small-Business
    • 14% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CCV 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
    Easy Integrations
    3
    Accessibility
    1
    Accuracy
    1
    AI Technology
    1
    Cost Efficiency
    1
    Cons
    Lack of Guidance
    2
    Limited Functionality
    2
    Privacy Issues
    2
    Complexity
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CCV features and usability ratings that predict user satisfaction
    9.0
    Object Detection
    Average: 8.7
    8.1
    Ease of Use
    Average: 8.7
    9.6
    Custom Image Detection
    Average: 8.6
    8.3
    Bounding Boxes
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CCV
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

CCV is a open source/cross-platform solution for blob tracking with computer vision. that can interface with various web cameras and video devices as well as connect to various TUIO/OSC/XML enabled ap

Users
No information available
Industries
No information available
Market Segment
  • 86% Small-Business
  • 14% Mid-Market
CCV 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
Easy Integrations
3
Accessibility
1
Accuracy
1
AI Technology
1
Cost Efficiency
1
Cons
Lack of Guidance
2
Limited Functionality
2
Privacy Issues
2
Complexity
1
Difficult Learning
1
CCV features and usability ratings that predict user satisfaction
9.0
Object Detection
Average: 8.7
8.1
Ease of Use
Average: 8.7
9.6
Custom Image Detection
Average: 8.6
8.3
Bounding Boxes
Average: 8.5
Seller Details
Seller
CCV
HQ Location
N/A
  • Overview
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  • 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dlib Image Processing 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
    Image Segmentation
    2
    Ease of Use
    1
    Efficiency
    1
    Features
    1
    Cons
    Difficult Learning
    1
    Limited Functionality
    1
    Slow Performance
    1
  • 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: 8.7
    8.3
    Custom Image Detection
    Average: 8.6
    6.7
    Bounding Boxes
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DLib
    HQ Location
    N/A
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 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
Image Segmentation
2
Ease of Use
1
Efficiency
1
Features
1
Cons
Difficult Learning
1
Limited Functionality
1
Slow Performance
1
Dlib Image Processing features and usability ratings that predict user satisfaction
9.2
Object Detection
Average: 8.7
7.8
Ease of Use
Average: 8.7
8.3
Custom Image Detection
Average: 8.6
6.7
Bounding Boxes
Average: 8.5
Seller Details
Seller
DLib
HQ Location
N/A
  • Overview
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  • 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: 8.7
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Nilearn
    HQ Location
    N/A
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: 8.7
0.0
No information available
0.0
No information available
Seller Details
Seller
Nilearn
HQ Location
N/A
  • Overview
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  • 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AForge.NET 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
    Cost Efficiency
    1
    Customization Options
    1
    Ease of Use
    1
    Machine Learning
    1
    Model Variety
    1
    Cons
    Lack of Resources
    1
    Limited Features
    1
    Limited Functionality
    1
    Poor Customer Support
    1
  • 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: 8.7
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
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 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
Cost Efficiency
1
Customization Options
1
Ease of Use
1
Machine Learning
1
Model Variety
1
Cons
Lack of Resources
1
Limited Features
1
Limited Functionality
1
Poor Customer Support
1
AForge.NET features and usability ratings that predict user satisfaction
0.0
No information available
6.7
Ease of Use
Average: 8.7
0.0
No information available
0.0
No information available
Seller Details
  • Overview
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  • 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • EBLearn 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
    Communication
    1
    Customer Support
    1
    Ease of Use
    1
    Implementation Ease
    1
    Team Collaboration
    1
    Cons
    Lack of Resources
    1
    Limited Functionality
    1
  • 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: 8.7
    9.2
    Custom Image Detection
    Average: 8.6
    8.3
    Bounding Boxes
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EBLearn
    HQ Location
    New York, NY
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 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
Communication
1
Customer Support
1
Ease of Use
1
Implementation Ease
1
Team Collaboration
1
Cons
Lack of Resources
1
Limited Functionality
1
EBLearn features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
9.2
Ease of Use
Average: 8.7
9.2
Custom Image Detection
Average: 8.6
8.3
Bounding Boxes
Average: 8.5
Seller Details
Seller
EBLearn
HQ Location
New York, NY
(2)4.0 out of 5
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    VLFeat is an open source library that implements popular computer vision algorithms specializing in image understanding and local features extraction and matching, it include Fisher Vector, VLAD, SIFT

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • VLFeat 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
    1
    Efficiency
    1
    Image Segmentation
    1
    Object Recognition
    1
    Speed
    1
    Cons
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VLFeat features and usability ratings that predict user satisfaction
    6.7
    Object Detection
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.7
    8.3
    Custom Image Detection
    Average: 8.6
    6.7
    Bounding Boxes
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    VLFeat
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

VLFeat is an open source library that implements popular computer vision algorithms specializing in image understanding and local features extraction and matching, it include Fisher Vector, VLAD, SIFT

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
VLFeat 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
1
Efficiency
1
Image Segmentation
1
Object Recognition
1
Speed
1
Cons
Poor Documentation
1
VLFeat features and usability ratings that predict user satisfaction
6.7
Object Detection
Average: 8.7
8.3
Ease of Use
Average: 8.7
8.3
Custom Image Detection
Average: 8.6
6.7
Bounding Boxes
Average: 8.5
Seller Details
Seller
VLFeat
HQ Location
N/A
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#, it is a framework for building production-grade computer vision,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Accord.NET Framework features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
Product Description
How are these determined?Information
This description is provided by the seller.

Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#, it is a framework for building production-grade computer vision,

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Accord.NET Framework features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Curvelogics caters to businesses spread across different geographies. Curvelogics Provides deep tech softwares development services, especially Artificial Intelligence, Machine Learning, Predictive An

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Curvelogics features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
Product Description
How are these determined?Information
This description is provided by the seller.

Curvelogics caters to businesses spread across different geographies. Curvelogics Provides deep tech softwares development services, especially Artificial Intelligence, Machine Learning, Predictive An

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Curvelogics features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
0 ratings
Save to My Lists
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
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MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.

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