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Best Image Recognition Software - Page 6

Bijou Barry
BB
Researched and written by Bijou Barry

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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Easiest to Use:
Best Free Software:

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.

No filters applied
346 Listings in Image Recognition Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    This model provides top-k category predictions out of 1000 classes on ImageNet. This network provides state of the art accuracy on ImageNet validation (top-1: 82.242 - top-5: 96.114) at the same time

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EfficientNet features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    10.0
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    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.

This model provides top-k category predictions out of 1000 classes on ImageNet. This network provides state of the art accuracy on ImageNet validation (top-1: 82.242 - top-5: 96.114) at the same time

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
EfficientNet features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
10.0
Bounding Boxes
Average: 8.3
Seller Details
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.

    Face detection and comparison API offers precise facial landmark identification and reliable face comparison, ready for quick deployment. It provides an effective way to integrate facial recognition i

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Face Analysis 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
    Accuracy
    1
    Cost Efficiency
    1
    Customer Support
    1
    Easy Integrations
    1
    Object Recognition
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Face Analysis API features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    10.0
    Custom Image Detection
    Average: 8.4
    10.0
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    API4AI
    Year Founded
    2020
    HQ Location
    Scotts Valley, California
    Twitter
    @Api4Ai
    34 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.

Face detection and comparison API offers precise facial landmark identification and reliable face comparison, ready for quick deployment. It provides an effective way to integrate facial recognition i

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Face Analysis 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
Accuracy
1
Cost Efficiency
1
Customer Support
1
Easy Integrations
1
Object Recognition
1
Cons
This product has not yet received any negative sentiments.
Face Analysis API features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
10.0
Custom Image Detection
Average: 8.4
10.0
Bounding Boxes
Average: 8.3
Seller Details
Seller
API4AI
Year Founded
2020
HQ Location
Scotts Valley, California
Twitter
@Api4Ai
34 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    FaceX provides a face detection and face recognition web service that can be integrated to your apps with just a few lines of code.

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

FaceX provides a face detection and face recognition web service that can be integrated to your apps with just a few lines of code.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
FaceX features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
10.0
Custom Image Detection
Average: 8.4
10.0
Bounding Boxes
Average: 8.3
Seller Details
Seller
FaceX
HQ Location
Helsinki, FI
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.

    GoSpotCheck by FORM is an industry-leading field execution app that guides, tracks, and improves performance in real time. Our easy-to-use mobile solution unleashes the power of field teams to drive m

    Users
    No information available
    Industries
    • Consumer Goods
    • Retail
    Market Segment
    • 46% Mid-Market
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GoSpotCheck by FORM 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
    Helpful
    1
    Note Management
    1
    Option Variety
    1
    Product Usefulness
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GoSpotCheck by FORM features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.5
    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
    FORM
    Year Founded
    2011
    HQ Location
    Denver, CO
    Twitter
    @Form_com
    284 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GoSpotCheck by FORM is an industry-leading field execution app that guides, tracks, and improves performance in real time. Our easy-to-use mobile solution unleashes the power of field teams to drive m

Users
No information available
Industries
  • Consumer Goods
  • Retail
Market Segment
  • 46% Mid-Market
  • 34% Enterprise
GoSpotCheck by FORM 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
Helpful
1
Note Management
1
Option Variety
1
Product Usefulness
1
Cons
This product has not yet received any negative sentiments.
GoSpotCheck by FORM features and usability ratings that predict user satisfaction
0.0
No information available
9.5
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Seller
FORM
Year Founded
2011
HQ Location
Denver, CO
Twitter
@Form_com
284 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hitachi Video Analytics (HVA) helps organizations gain the full value from their video data to create smarter environments that can rapidly adapt to the changing demands of customers.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hitachi Video Analytics 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
    Performance
    1
    Workflow Efficiency
    1
    Cons
    Not User-Friendly
    1
    Privacy Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hitachi Video Analytics features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Santa Clara, CA
    Twitter
    @HitachiVantara
    28,479 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,576 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hitachi Video Analytics (HVA) helps organizations gain the full value from their video data to create smarter environments that can rapidly adapt to the changing demands of customers.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Hitachi Video Analytics 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
Performance
1
Workflow Efficiency
1
Cons
Not User-Friendly
1
Privacy Issues
1
Hitachi Video Analytics features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
HQ Location
Santa Clara, CA
Twitter
@HitachiVantara
28,479 Twitter followers
LinkedIn® Page
www.linkedin.com
10,576 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hive's logo model automatically detects logos in images and videos to monitor and monetize your visual content. It measures three things: 1. Logos: Pre-trained on 5,000+ brands 2. Brand prominence: A

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hive Logo Model features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    10.0
    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
    Hive.ai
    Year Founded
    2013
    HQ Location
    San Francisco, California
    Twitter
    @hive_ai
    2,766 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    510 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hive's logo model automatically detects logos in images and videos to monitor and monetize your visual content. It measures three things: 1. Logos: Pre-trained on 5,000+ brands 2. Brand prominence: A

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Hive Logo Model features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
Hive.ai
Year Founded
2013
HQ Location
San Francisco, California
Twitter
@hive_ai
2,766 Twitter followers
LinkedIn® Page
www.linkedin.com
510 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Empower Your Business with Cutting-Edge AI Technology Hypervise revolutionizes your industrial processes with state-of-the-art AI Visual Inspection Software for Manufacturing. By leveraging Compute

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • HYPERVISE.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
    Accuracy
    1
    Features
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HYPERVISE.AI features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Hyderabad, IN
    LinkedIn® Page
    www.linkedin.com
    58 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Empower Your Business with Cutting-Edge AI Technology Hypervise revolutionizes your industrial processes with state-of-the-art AI Visual Inspection Software for Manufacturing. By leveraging Compute

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
HYPERVISE.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
Accuracy
1
Features
1
Cons
This product has not yet received any negative sentiments.
HYPERVISE.AI features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Year Founded
2019
HQ Location
Hyderabad, IN
LinkedIn® Page
www.linkedin.com
58 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    This solution automatically identifies and trains the best performing deep learning model for image classification.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Image Classifier with auto Deep Learning features and usability ratings that predict user satisfaction
    6.7
    Object Detection
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.8
    6.7
    Custom Image Detection
    Average: 8.4
    8.3
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Mphasis
    Year Founded
    2007
    HQ Location
    Reston, VA
    Twitter
    @Stelligent
    1,109 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

This solution automatically identifies and trains the best performing deep learning model for image classification.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Image Classifier with auto Deep Learning features and usability ratings that predict user satisfaction
6.7
Object Detection
Average: 8.7
8.3
Ease of Use
Average: 8.8
6.7
Custom Image Detection
Average: 8.4
8.3
Bounding Boxes
Average: 8.3
Seller Details
Seller
Mphasis
Year Founded
2007
HQ Location
Reston, VA
Twitter
@Stelligent
1,109 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Imagga is an image recognition platform-as-a-service that provides image tagging APIs for developers and businesses to build scalable, image and video intensive apps.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Image Recognition 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
    API Usability
    1
    Ease of Use
    1
    Easy Integrations
    1
    Facial Recognition
    1
    Object Recognition
    1
    Cons
    Not User-Friendly
    1
    Poor UI Design
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Image Recognition features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    5.0
    Ease of Use
    Average: 8.8
    6.7
    Custom Image Detection
    Average: 8.4
    10.0
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Imagga
    Year Founded
    2011
    HQ Location
    Sofia, BG
    Twitter
    @imagga
    1,328 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Imagga is an image recognition platform-as-a-service that provides image tagging APIs for developers and businesses to build scalable, image and video intensive apps.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Image Recognition 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
API Usability
1
Ease of Use
1
Easy Integrations
1
Facial Recognition
1
Object Recognition
1
Cons
Not User-Friendly
1
Poor UI Design
1
Image Recognition features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
5.0
Ease of Use
Average: 8.8
6.7
Custom Image Detection
Average: 8.4
10.0
Bounding Boxes
Average: 8.3
Seller Details
Seller
Imagga
Year Founded
2011
HQ Location
Sofia, BG
Twitter
@imagga
1,328 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kibsi is a radically new way to develop, deploy, and manage vision-enabled solutions at scale. Our cloud-native, low-code platform democratizes computer vision, allowing you to focus on your business

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kibsi 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
    Cons
    Not User-Friendly
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kibsi features and usability ratings that predict user satisfaction
    8.3
    Object Detection
    Average: 8.7
    6.7
    Ease of Use
    Average: 8.8
    8.3
    Custom Image Detection
    Average: 8.4
    6.7
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kibsi
    Year Founded
    2021
    HQ Location
    Irvine, US
    Twitter
    @TeamKibsi
    34 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kibsi is a radically new way to develop, deploy, and manage vision-enabled solutions at scale. Our cloud-native, low-code platform democratizes computer vision, allowing you to focus on your business

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
  • 100% Mid-Market
Kibsi 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
Cons
Not User-Friendly
1
Kibsi features and usability ratings that predict user satisfaction
8.3
Object Detection
Average: 8.7
6.7
Ease of Use
Average: 8.8
8.3
Custom Image Detection
Average: 8.4
6.7
Bounding Boxes
Average: 8.3
Seller Details
Seller
Kibsi
Year Founded
2021
HQ Location
Irvine, US
Twitter
@TeamKibsi
34 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Make and model recognition (MMR) is an AI-based software providing detailed vehicle classification. The product recognizes with extremely high accuracy the category, make, model, generation, variant a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Make and model recognition features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Praha 2, CZ
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Make and model recognition (MMR) is an AI-based software providing detailed vehicle classification. The product recognizes with extremely high accuracy the category, make, model, generation, variant a

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Make and model recognition features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2006
HQ Location
Praha 2, CZ
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Scanned documents sometimes can have pages with wrong alignment. This can create challenges while processing of documents viz. OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solutio

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mphasis Scanned Document Tilt Correction 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
    This product has not yet received any positive sentiments.
    Cons
    Maintenance Issues
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mphasis Scanned Document Tilt Correction features and usability ratings that predict user satisfaction
    0.0
    No information available
    6.7
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Mphasis
    Year Founded
    2007
    HQ Location
    Reston, VA
    Twitter
    @Stelligent
    1,109 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Scanned documents sometimes can have pages with wrong alignment. This can create challenges while processing of documents viz. OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solutio

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Mphasis Scanned Document Tilt Correction 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
This product has not yet received any positive sentiments.
Cons
Maintenance Issues
1
Slow Performance
1
Mphasis Scanned Document Tilt Correction features and usability ratings that predict user satisfaction
0.0
No information available
6.7
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Seller
Mphasis
Year Founded
2007
HQ Location
Reston, VA
Twitter
@Stelligent
1,109 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenFace 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
    Seller
    OpenFace
    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.

OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
OpenFace 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
Seller
OpenFace
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.

    At Osaro, we're creating AI software that combines state-of-the-art perception with powerful adaptive decision-making abilities to help computer and robotic systems act efficiently and intelligently.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Osaro features and usability ratings that predict user satisfaction
    10.0
    Object Detection
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.8
    10.0
    Custom Image Detection
    Average: 8.4
    10.0
    Bounding Boxes
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Osaro
    Year Founded
    2015
    HQ Location
    San Francisco, US
    Twitter
    @OsaroAI
    757 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    77 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Osaro, we're creating AI software that combines state-of-the-art perception with powerful adaptive decision-making abilities to help computer and robotic systems act efficiently and intelligently.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Osaro features and usability ratings that predict user satisfaction
10.0
Object Detection
Average: 8.7
10.0
Ease of Use
Average: 8.8
10.0
Custom Image Detection
Average: 8.4
10.0
Bounding Boxes
Average: 8.3
Seller Details
Seller
Osaro
Year Founded
2015
HQ Location
San Francisco, US
Twitter
@OsaroAI
757 Twitter followers
LinkedIn® Page
www.linkedin.com
77 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Pilot AI is a drop-in neural network solution for computer vision applications. The platform handles data ingestion, data labeling, model training, and on-camera applications ranging from object detec

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Pilot AI features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Pilot AI
    Year Founded
    2017
    HQ Location
    Irvine, California, United States
    LinkedIn® Page
    www.linkedin.com
    251 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pilot AI is a drop-in neural network solution for computer vision applications. The platform handles data ingestion, data labeling, model training, and on-camera applications ranging from object detec

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Pilot AI features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
Seller Details
Seller
Pilot AI
Year Founded
2017
HQ Location
Irvine, California, United States
LinkedIn® Page
www.linkedin.com
251 employees on LinkedIn®