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Best Image Recognition Software with APIs & SDKs Capabilities

Below are the top-rated Image Recognition Software with APIs & SDKs capabilities, as verified by G2’s Research team. Real users have identified APIs & SDKs 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.
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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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45 Listings in Image Recognition Available
(83)4.4 out of 5
6th Easiest To Use in Image Recognition software
View top Consulting Services for Google Cloud Vision API
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Detect and classify multiple objects, images, and more using Google Cloud's pre-trained Vision API or custom trained Vision AutoML. Google Cloud's Vision AI helps developers easily leverage the power

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Small-Business
    • 27% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Vision 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
    Features
    2
    Object Recognition
    2
    Accuracy
    1
    AI Technology
    1
    API Usability
    1
    Cons
    Inaccurate Recognition
    1
    Lagging Issues
    1
    Limited Functionality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Vision API features and usability ratings that predict user satisfaction
    9.3
    Object Detection
    Average: 8.7
    8.9
    Ease of Use
    Average: 8.8
    9.0
    Custom Image Detection
    Average: 8.4
    8.9
    Bounding Boxes
    Average: 8.3
  • 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.

Detect and classify multiple objects, images, and more using Google Cloud's pre-trained Vision API or custom trained Vision AutoML. Google Cloud's Vision AI helps developers easily leverage the power

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Small-Business
  • 27% Enterprise
Google Cloud Vision 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
Features
2
Object Recognition
2
Accuracy
1
AI Technology
1
API Usability
1
Cons
Inaccurate Recognition
1
Lagging Issues
1
Limited Functionality
1
Google Cloud Vision API features and usability ratings that predict user satisfaction
9.3
Object Detection
Average: 8.7
8.9
Ease of Use
Average: 8.8
9.0
Custom Image Detection
Average: 8.4
8.9
Bounding Boxes
Average: 8.3
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
(15)4.2 out of 5
View top Consulting Services for Google Cloud AutoML Vision
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 27% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud AutoML Vision 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
    Easy Training
    1
    Speed
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud AutoML Vision features and usability ratings that predict user satisfaction
    8.5
    Object Detection
    Average: 8.7
    8.0
    Ease of Use
    Average: 8.8
    8.5
    Custom Image Detection
    Average: 8.4
    8.5
    Bounding Boxes
    Average: 8.3
  • 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.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 27% Enterprise
Google Cloud AutoML Vision 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
Easy Training
1
Speed
1
Cons
This product has not yet received any negative sentiments.
Google Cloud AutoML Vision features and usability ratings that predict user satisfaction
8.5
Object Detection
Average: 8.7
8.0
Ease of Use
Average: 8.8
8.5
Custom Image Detection
Average: 8.4
8.5
Bounding Boxes
Average: 8.3
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

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(28)4.3 out of 5
11th 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.

    Amazon Rekognition makes it easy to add image and video analysis to your applications. It can identify the objects, people, text, scenes, and activities, or any inappropriate content from an image or

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 39% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Rekognition 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
    Object Recognition
    1
    Cons
    Difficult Learning
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Rekognition features and usability ratings that predict user satisfaction
    7.9
    Object Detection
    Average: 8.7
    8.4
    Ease of Use
    Average: 8.8
    6.7
    Custom Image Detection
    Average: 8.4
    7.1
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Rekognition makes it easy to add image and video analysis to your applications. It can identify the objects, people, text, scenes, and activities, or any inappropriate content from an image or

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 39% Small-Business
  • 32% Enterprise
Amazon Rekognition 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
Object Recognition
1
Cons
Difficult Learning
1
Expensive
1
Amazon Rekognition features and usability ratings that predict user satisfaction
7.9
Object Detection
Average: 8.7
8.4
Ease of Use
Average: 8.8
6.7
Custom Image Detection
Average: 8.4
7.1
Bounding Boxes
Average: 8.3
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(12)4.3 out of 5
9th 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.

    Azure Custom Vision Service is a tool for building custom image classifiers, and for making them better over time. This service enables you to identify your own objects and things in images.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Custom Vision Service features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.8
    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.

Azure Custom Vision Service is a tool for building custom image classifiers, and for making them better over time. This service enables you to identify your own objects and things in images.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 33% Small-Business
Azure Custom Vision Service features and usability ratings that predict user satisfaction
0.0
No information available
8.8
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
(47)4.1 out of 5
10th 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.

    Microsoft Computer Vision API is a cloud-based API tool that provides developers with access to advanced algorithms for processing images and returning informatio, by uploading an image or specifying

    Users
    No information available
    Industries
    • Hospital & Health Care
    Market Segment
    • 47% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Microsoft Computer Vision 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
    Communication
    1
    Cons
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Microsoft Computer Vision 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.

Microsoft Computer Vision API is a cloud-based API tool that provides developers with access to advanced algorithms for processing images and returning informatio, by uploading an image or specifying

Users
No information available
Industries
  • Hospital & Health Care
Market Segment
  • 47% Small-Business
  • 30% Mid-Market
Microsoft Computer Vision 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
Communication
1
Cons
Integration Issues
1
Microsoft Computer Vision 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
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Advanced Facial Search and Recognition API. Luxand.Cloud stands at the forefront of facial recognition technology, crafting a future where security seamlessly intertwines with innovation. With preci

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 90% Mid-Market
    • 10% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Luxand.cloud 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
    1
    Ease of Use
    1
    Easy Setup
    1
    Implementation Ease
    1
    User Interface
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Luxand.cloud features and usability ratings that predict user satisfaction
    9.3
    Object Detection
    Average: 8.7
    9.6
    Ease of Use
    Average: 8.8
    9.2
    Custom Image Detection
    Average: 8.4
    9.7
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    United States
    LinkedIn® Page
    www.linkedin.com
    12 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Advanced Facial Search and Recognition API. Luxand.Cloud stands at the forefront of facial recognition technology, crafting a future where security seamlessly intertwines with innovation. With preci

Users
No information available
Industries
No information available
Market Segment
  • 90% Mid-Market
  • 10% Small-Business
Luxand.cloud 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
1
Ease of Use
1
Easy Setup
1
Implementation Ease
1
User Interface
1
Cons
This product has not yet received any negative sentiments.
Luxand.cloud features and usability ratings that predict user satisfaction
9.3
Object Detection
Average: 8.7
9.6
Ease of Use
Average: 8.8
9.2
Custom Image Detection
Average: 8.4
9.7
Bounding Boxes
Average: 8.3
Seller Details
HQ Location
United States
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
(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% Mid-Market
  • 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% Mid-Market
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®
  • Overview
    Expand/Collapse Overview
  • 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®
  • 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
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Video AI enables powerful content discovery and engaging video experiences.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 88% Small-Business
    • 13% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Video AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Accuracy
    1
    Ease of Setup
    1
    Features
    1
    Implementation Ease
    1
    Cons
    Accuracy Issues
    1
    Expensive
    1
    Inaccurate Recognition
    1
    Limited Functionality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Video AI features and usability ratings that predict user satisfaction
    9.2
    Object Detection
    Average: 8.7
    9.4
    Ease of Use
    Average: 8.8
    7.8
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • 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.

Video AI enables powerful content discovery and engaging video experiences.

Users
No information available
Industries
No information available
Market Segment
  • 88% Small-Business
  • 13% Mid-Market
Video AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Accuracy
1
Ease of Setup
1
Features
1
Implementation Ease
1
Cons
Accuracy Issues
1
Expensive
1
Inaccurate Recognition
1
Limited Functionality
1
Video AI features and usability ratings that predict user satisfaction
9.2
Object Detection
Average: 8.7
9.4
Ease of Use
Average: 8.8
7.8
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
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.

    Face++ provides APIs and SDKs for facial recognition.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Face++ features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    8.9
    Ease of Use
    Average: 8.8
    8.9
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Face++
    HQ Location
    N/A
    Twitter
    @faceplusplus
    821 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Face++ provides APIs and SDKs for facial recognition.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
Face++ features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
8.9
Ease of Use
Average: 8.8
8.9
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
Face++
HQ Location
N/A
Twitter
@faceplusplus
821 Twitter followers
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Allows you to implement image recognition technology within your web or mobile applications.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Recognize.im Image Recognition API features and usability ratings that predict user satisfaction
    8.9
    Object Detection
    Average: 8.7
    9.3
    Ease of Use
    Average: 8.8
    9.4
    Custom Image Detection
    Average: 8.4
    8.9
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Poznań, Poland
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Allows you to implement image recognition technology within your web or mobile applications.

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 40% Small-Business
Recognize.im Image Recognition API features and usability ratings that predict user satisfaction
8.9
Object Detection
Average: 8.7
9.3
Ease of Use
Average: 8.8
9.4
Custom Image Detection
Average: 8.4
8.9
Bounding Boxes
Average: 8.3
Seller Details
HQ Location
Poznań, Poland
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.

    Alibaba Cloud Image Search is an intelligent image search service that helps users find similar or identical images. Based on machine learning and deep learning, the product enables end-users to take

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alibaba Image Search 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
    1
    Image Segmentation
    1
    Object Recognition
    1
    Cons
    Inaccurate Recognition
    2
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alibaba Image Search features and usability ratings that predict user satisfaction
    6.7
    Object Detection
    Average: 8.7
    8.9
    Ease of Use
    Average: 8.8
    5.0
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alibaba
    HQ Location
    Hangzhou
    Twitter
    @alibaba_cloud
    1,050,699 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,764 employees on LinkedIn®
    Ownership
    BABA
    Total Revenue (USD mm)
    $509,711
Product Description
How are these determined?Information
This description is provided by the seller.

Alibaba Cloud Image Search is an intelligent image search service that helps users find similar or identical images. Based on machine learning and deep learning, the product enables end-users to take

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
Alibaba Image Search 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
1
Image Segmentation
1
Object Recognition
1
Cons
Inaccurate Recognition
2
Slow Performance
1
Alibaba Image Search features and usability ratings that predict user satisfaction
6.7
Object Detection
Average: 8.7
8.9
Ease of Use
Average: 8.8
5.0
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
Alibaba
HQ Location
Hangzhou
Twitter
@alibaba_cloud
1,050,699 Twitter followers
LinkedIn® Page
www.linkedin.com
4,764 employees on LinkedIn®
Ownership
BABA
Total Revenue (USD mm)
$509,711