Amazon RekognitionAmazon
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Related Products
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About
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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About
Our platforms provide a trusted foundation upon which to design, build, and deploy custom machine learning and artificial intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Predict the future using state-of-the-art forecasts. Enable smarter decisions throughout your organization with cloud based tools to monitor and analyze. The process of taking a modern machine learning application from research and ad-hoc code to a robust, scalable platform remains a key challenge for experienced data science and engineering teams. Strong ML simplifies this process with a complete suite of tools to manage, deploy, and monitor your machine learning applications.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations that want to automate their image and video analysis with machine learning.
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Audience
Companies looking for a powerful Machine Learning solution
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rekognition/
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Company InformationStrong Analytics
United States
www.strong.io/platforms
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Alternatives |
Alternatives |
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Categories |
Categories |
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Computer Vision Features
Blob Detection & Analysis
Supported
Building Tools
Supported
Image Processing
Supported
Multiple Image Type Support
Supported
Reporting / Analytics Integration
Supported
Smart Camera Integration
Supported
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Integrations
AWS AI Services
Supported
AWS App Mesh
Supported
Amazon Augmented AI (A2I)
Supported
Amazon Web Services (AWS)
Supported
BotCore
Supported
Descope
Supported
Orange Logic
Supported
Qrvey
Supported
Quickwork
Supported
SightRadar
Supported
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Integrations
AWS AI Services
Not Supported
AWS App Mesh
Not Supported
Amazon Augmented AI (A2I)
Not Supported
Amazon Web Services (AWS)
Not Supported
BotCore
Not Supported
Descope
Not Supported
Orange Logic
Not Supported
Qrvey
Not Supported
Quickwork
Not Supported
SightRadar
Not Supported
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