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Best Image Recognition Software - Page 2

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

Leader:
Highest Performer:
Easiest to Use:
Best Free Software:
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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
(14)3.8 out of 5
15th Easiest To Use in Image Recognition software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Microsoft Video API is a cloud-based API that provides advanced algorithms for tracking faces, detecting motion, stabilizing and creating thumbnails from video, it allows user to build more personaliz

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 57% Small-Business
    • 21% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Microsoft Video API features and usability ratings that predict user satisfaction
    0.0
    No information available
    7.8
    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
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 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.

Microsoft Video API is a cloud-based API that provides advanced algorithms for tracking faces, detecting motion, stabilizing and creating thumbnails from video, it allows user to build more personaliz

Users
No information available
Industries
No information available
Market Segment
  • 57% Small-Business
  • 21% Enterprise
Microsoft Video API features and usability ratings that predict user satisfaction
0.0
No information available
7.8
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(65)4.3 out of 5
8th Easiest To Use in Image Recognition software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 62% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    13
    Model Variety
    11
    AI Technology
    9
    Ease of Use
    9
    User Interface
    9
    Cons
    Expensive
    8
    Complexity
    4
    Poor UI Design
    4
    UX Improvement
    4
    Difficult Learning
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai features and usability ratings that predict user satisfaction
    9.1
    Object Detection
    Average: 8.7
    8.2
    Ease of Use
    Average: 8.8
    9.1
    Custom Image Detection
    Average: 8.4
    8.6
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    94 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 62% Small-Business
  • 26% Mid-Market
Clarifai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
13
Model Variety
11
AI Technology
9
Ease of Use
9
User Interface
9
Cons
Expensive
8
Complexity
4
Poor UI Design
4
UX Improvement
4
Difficult Learning
3
Clarifai features and usability ratings that predict user satisfaction
9.1
Object Detection
Average: 8.7
8.2
Ease of Use
Average: 8.8
9.1
Custom Image Detection
Average: 8.4
8.6
Bounding Boxes
Average: 8.3
Seller Details
Seller
Clarifai
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,849 Twitter followers
LinkedIn® Page
www.linkedin.com
94 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.

    Azure Face API uses state-of-the-art cloud-based face algorithms to detect and recognize human faces in images.Its capabilities include features like face detection, face verification, and face groupi

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 67% Small-Business
    • 17% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Face API 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
    Object Recognition
    1
    Cons
    Accuracy Issues
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Face API features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.2
    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
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 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 Face API uses state-of-the-art cloud-based face algorithms to detect and recognize human faces in images.Its capabilities include features like face detection, face verification, and face groupi

Users
No information available
Industries
  • Computer Software
Market Segment
  • 67% Small-Business
  • 17% Enterprise
Azure Face API 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
Object Recognition
1
Cons
Accuracy Issues
1
Expensive
1
Azure Face API features and usability ratings that predict user satisfaction
0.0
No information available
8.2
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(51)4.6 out of 5
4th Easiest To Use in Image Recognition software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Vue.ai — Your AI Orchestration Platform 1. The efficient movement of clean, multi-modal, AI-enriched datasets that grow and change with time, are connected to multiple applications with no divergence

    Users
    No information available
    Industries
    • Apparel & Fashion
    • Retail
    Market Segment
    • 41% Mid-Market
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vue.ai features and usability ratings that predict user satisfaction
    7.8
    Object Detection
    Average: 8.7
    8.9
    Ease of Use
    Average: 8.8
    7.2
    Custom Image Detection
    Average: 8.4
    7.5
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Redwood City, California
    Twitter
    @vue_ai
    13,212 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Vue.ai — Your AI Orchestration Platform 1. The efficient movement of clean, multi-modal, AI-enriched datasets that grow and change with time, are connected to multiple applications with no divergence

Users
No information available
Industries
  • Apparel & Fashion
  • Retail
Market Segment
  • 41% Mid-Market
  • 29% Enterprise
Vue.ai features and usability ratings that predict user satisfaction
7.8
Object Detection
Average: 8.7
8.9
Ease of Use
Average: 8.8
7.2
Custom Image Detection
Average: 8.4
7.5
Bounding Boxes
Average: 8.3
Seller Details
Year Founded
2016
HQ Location
Redwood City, California
Twitter
@vue_ai
13,212 Twitter followers
LinkedIn® Page
www.linkedin.com
30 employees on LinkedIn®
(10)4.5 out of 5
2nd Easiest To Use in Image Recognition software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • 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: 8.8
    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
    1,141 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: 8.8
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@sightmachine
1,141 Twitter followers
LinkedIn® Page
www.linkedin.com
67 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataloop Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Annotation Efficiency
    5
    Easy Integrations
    5
    Annotation Tools
    4
    Features
    4
    Cons
    Lagging Issues
    5
    Performance Issues
    5
    Lagging Performance
    3
    Latency Issues
    3
    Slow Performance
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataloop features and usability ratings that predict user satisfaction
    9.0
    Object Detection
    Average: 8.7
    8.8
    Ease of Use
    Average: 8.8
    8.7
    Custom Image Detection
    Average: 8.4
    9.4
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataloop
    Year Founded
    2017
    HQ Location
    Herzliya, IL
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 32% Small-Business
Dataloop Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Annotation Efficiency
5
Easy Integrations
5
Annotation Tools
4
Features
4
Cons
Lagging Issues
5
Performance Issues
5
Lagging Performance
3
Latency Issues
3
Slow Performance
3
Dataloop features and usability ratings that predict user satisfaction
9.0
Object Detection
Average: 8.7
8.8
Ease of Use
Average: 8.8
8.7
Custom Image Detection
Average: 8.4
9.4
Bounding Boxes
Average: 8.3
Seller Details
Seller
Dataloop
Year Founded
2017
HQ Location
Herzliya, IL
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 52% Small-Business
    • 35% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NVIDIA Deep Learning GPU Training System (DIGITS) features and usability ratings that predict user satisfaction
    7.9
    Object Detection
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.8
    8.8
    Custom Image Detection
    Average: 8.4
    8.8
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,415,038 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    46,062 employees on LinkedIn®
    Ownership
    NVDA
Product Description
How are these determined?Information
This description is provided by the seller.

NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real

Users
No information available
Industries
  • Computer Software
Market Segment
  • 52% Small-Business
  • 35% Mid-Market
NVIDIA Deep Learning GPU Training System (DIGITS) features and usability ratings that predict user satisfaction
7.9
Object Detection
Average: 8.7
8.3
Ease of Use
Average: 8.8
8.8
Custom Image Detection
Average: 8.4
8.8
Bounding Boxes
Average: 8.3
Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,415,038 Twitter followers
LinkedIn® Page
www.linkedin.com
46,062 employees on LinkedIn®
Ownership
NVDA
(39)4.5 out of 5
7th Easiest To Use in Image Recognition software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • 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: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenCV
    Year Founded
    2000
    HQ Location
    N/A
    Twitter
    @opencvlibrary
    11,761 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    58 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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: 8.8
8.3
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
OpenCV
Year Founded
2000
HQ Location
N/A
Twitter
@opencvlibrary
11,761 Twitter followers
LinkedIn® Page
www.linkedin.com
58 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Zippin, we help retailers reimagine their shopper experience by removing the friction of in-store shopping. We eliminate the checkout to give shoppers their time back and help retailers run their s

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Small-Business
    • 13% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Zippin 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
    8
    AI Technology
    5
    Productivity Improvement
    5
    Efficiency
    4
    Reliability
    4
    Cons
    Limited Functionality
    3
    Compatibility Issues
    2
    Complex Setup
    1
    Data Security
    1
    Inaccurate Recognition
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zippin features and usability ratings that predict user satisfaction
    8.9
    Object Detection
    Average: 8.7
    9.1
    Ease of Use
    Average: 8.8
    9.2
    Custom Image Detection
    Average: 8.4
    8.6
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zippin
    Year Founded
    2018
    HQ Location
    San Francisco, California
    Twitter
    @getzippin
    557 Twitter followers
    LinkedIn® Page
    linkedin.com
    137 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Zippin, we help retailers reimagine their shopper experience by removing the friction of in-store shopping. We eliminate the checkout to give shoppers their time back and help retailers run their s

Users
No information available
Industries
No information available
Market Segment
  • 80% Small-Business
  • 13% Mid-Market
Zippin 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
8
AI Technology
5
Productivity Improvement
5
Efficiency
4
Reliability
4
Cons
Limited Functionality
3
Compatibility Issues
2
Complex Setup
1
Data Security
1
Inaccurate Recognition
1
Zippin features and usability ratings that predict user satisfaction
8.9
Object Detection
Average: 8.7
9.1
Ease of Use
Average: 8.8
9.2
Custom Image Detection
Average: 8.4
8.6
Bounding Boxes
Average: 8.3
Seller Details
Seller
Zippin
Year Founded
2018
HQ Location
San Francisco, California
Twitter
@getzippin
557 Twitter followers
LinkedIn® Page
linkedin.com
137 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine le

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Enterprise
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Nyckel Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    5
    Cost Efficiency
    4
    Implementation Ease
    4
    AI Technology
    3
    Communication
    3
    Cons
    Complexity
    1
    Difficult Learning
    1
    Inaccurate Recognition
    1
    Lagging Issues
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Nyckel features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    9.1
    Ease of Use
    Average: 8.8
    10.0
    Custom Image Detection
    Average: 8.4
    9.6
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Nyckel
    Year Founded
    2021
    HQ Location
    Bay area, US
    Twitter
    @nyckelai
    80 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine le

Users
No information available
Industries
No information available
Market Segment
  • 36% Enterprise
  • 36% Small-Business
Nyckel Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
5
Cost Efficiency
4
Implementation Ease
4
AI Technology
3
Communication
3
Cons
Complexity
1
Difficult Learning
1
Inaccurate Recognition
1
Lagging Issues
1
Limited Customization
1
Nyckel features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
9.1
Ease of Use
Average: 8.8
10.0
Custom Image Detection
Average: 8.4
9.6
Bounding Boxes
Average: 8.3
Seller Details
Seller
Nyckel
Year Founded
2021
HQ Location
Bay area, US
Twitter
@nyckelai
80 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Let your users search the Internet by face! Integrate FaceCheck facial search seamlessly with your app, website or software platform. FaceCheck's REST API is hassle-free and easy to use.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 77% Small-Business
    • 15% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • FaceCheck ID 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
    Data Privacy
    2
    Ease of Use
    2
    Easy Integrations
    2
    Facial Recognition
    2
    Cons
    Expensive
    2
    Complexity
    1
    Data Limitations
    1
    Difficult Learning
    1
    Inaccurate Recognition
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FaceCheck ID features and usability ratings that predict user satisfaction
    6.8
    Object Detection
    Average: 8.7
    8.0
    Ease of Use
    Average: 8.8
    7.6
    Custom Image Detection
    Average: 8.4
    6.7
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    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.

Let your users search the Internet by face! Integrate FaceCheck facial search seamlessly with your app, website or software platform. FaceCheck's REST API is hassle-free and easy to use.

Users
No information available
Industries
No information available
Market Segment
  • 77% Small-Business
  • 15% Mid-Market
FaceCheck ID 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
Data Privacy
2
Ease of Use
2
Easy Integrations
2
Facial Recognition
2
Cons
Expensive
2
Complexity
1
Data Limitations
1
Difficult Learning
1
Inaccurate Recognition
1
FaceCheck ID features and usability ratings that predict user satisfaction
6.8
Object Detection
Average: 8.7
8.0
Ease of Use
Average: 8.8
7.6
Custom Image Detection
Average: 8.4
6.7
Bounding Boxes
Average: 8.3
Seller Details
Year Founded
2022
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.

    And this is where Google's deep dream ideas originate. With simple words you give to an AI program a couple of images and let it know what those images contain ( what objects - dogs, cats, mountains,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Small-Business
    • 23% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deepdream features and usability ratings that predict user satisfaction
    0.0
    No information available
    7.1
    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
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

And this is where Google's deep dream ideas originate. With simple words you give to an AI program a couple of images and let it know what those images contain ( what objects - dogs, cats, mountains,

Users
No information available
Industries
No information available
Market Segment
  • 54% Small-Business
  • 23% Enterprise
Deepdream features and usability ratings that predict user satisfaction
0.0
No information available
7.1
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Ownership
NASDAQ:GOOG
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ParallelDots is a leading image recognition AI solution company. It provides the product ShelfWatch for FMCG/CPG companies and retailers globally, helping them optimize their in-store execution and ma

    Users
    No information available
    Industries
    • Food & Beverages
    • Consumer Goods
    Market Segment
    • 35% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ParallelDots ShelfWatch 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
    Automation
    1
    Communication
    1
    Cost Efficiency
    1
    Customization Options
    1
    Data Management
    1
    Cons
    Inaccurate Recognition
    1
    Lagging Issues
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ParallelDots ShelfWatch features and usability ratings that predict user satisfaction
    7.8
    Object Detection
    Average: 8.7
    8.5
    Ease of Use
    Average: 8.8
    7.8
    Custom Image Detection
    Average: 8.4
    7.2
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Seattle, US
    Twitter
    @ParallelDots
    2,019 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    349 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ParallelDots is a leading image recognition AI solution company. It provides the product ShelfWatch for FMCG/CPG companies and retailers globally, helping them optimize their in-store execution and ma

Users
No information available
Industries
  • Food & Beverages
  • Consumer Goods
Market Segment
  • 35% Mid-Market
  • 35% Enterprise
ParallelDots ShelfWatch 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
Automation
1
Communication
1
Cost Efficiency
1
Customization Options
1
Data Management
1
Cons
Inaccurate Recognition
1
Lagging Issues
1
Slow Performance
1
ParallelDots ShelfWatch features and usability ratings that predict user satisfaction
7.8
Object Detection
Average: 8.7
8.5
Ease of Use
Average: 8.8
7.8
Custom Image Detection
Average: 8.4
7.2
Bounding Boxes
Average: 8.3
Seller Details
Year Founded
2014
HQ Location
Seattle, US
Twitter
@ParallelDots
2,019 Twitter followers
LinkedIn® Page
www.linkedin.com
349 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The engine that powers your Face AI ambitions via Facial Landmark Tracking, Face Analysis, Eye Gaze Estimation, Data Labeling & Annotation Tools, Consented Human Face Data, Synthetic Data Generati

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FaceTrace.ai features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    8.1
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    7.9
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AlgoFace
    HQ Location
    Carefree, Arizona
    Twitter
    @algoface
    797 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The engine that powers your Face AI ambitions via Facial Landmark Tracking, Face Analysis, Eye Gaze Estimation, Data Labeling & Annotation Tools, Consented Human Face Data, Synthetic Data Generati

Users
No information available
Industries
No information available
Market Segment
  • 54% Small-Business
  • 38% Mid-Market
FaceTrace.ai features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
8.1
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
7.9
Bounding Boxes
Average: 8.3
Seller Details
Seller
AlgoFace
HQ Location
Carefree, Arizona
Twitter
@algoface
797 Twitter followers
LinkedIn® Page
www.linkedin.com
19 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Capsolver‘s automatic captcha solver offers the most affordable and quick captcha-solving solution. You may rapidly combine it with your program using its simple integration option to achieve the best

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 93% Small-Business
    • 7% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Capsolver 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
    Speed
    6
    Cost Efficiency
    4
    Customer Support
    4
    Efficiency
    3
    API Usability
    2
    Cons
    Confusing Documentation
    2
    Lack of Resources
    2
    Expensive
    1
    Poor Customer Support
    1
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Capsolver features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    8.5
    Ease of Use
    Average: 8.8
    8.8
    Custom Image Detection
    Average: 8.4
    9.6
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Capsolver
    HQ Location
    N/A
    Twitter
    @capsolver
    1,346 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Capsolver‘s automatic captcha solver offers the most affordable and quick captcha-solving solution. You may rapidly combine it with your program using its simple integration option to achieve the best

Users
No information available
Industries
No information available
Market Segment
  • 93% Small-Business
  • 7% Mid-Market
Capsolver 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
Speed
6
Cost Efficiency
4
Customer Support
4
Efficiency
3
API Usability
2
Cons
Confusing Documentation
2
Lack of Resources
2
Expensive
1
Poor Customer Support
1
Poor Documentation
1
Capsolver features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
8.5
Ease of Use
Average: 8.8
8.8
Custom Image Detection
Average: 8.4
9.6
Bounding Boxes
Average: 8.3
Seller Details
Seller
Capsolver
HQ Location
N/A
Twitter
@capsolver
1,346 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®