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Amazon Rekognition

Amazon Rekognition

Overview

What is Amazon Rekognition?

Amazon offers Rekognition, an image and video visual analytics tool that is trained on locating and identifying labeled or tag-related objects, events, people, and also inappropriate content in images and video so that images and video can more safely and…

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Pricing

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What is Amazon Rekognition?

Amazon offers Rekognition, an image and video visual analytics tool that is trained on locating and identifying labeled or tag-related objects, events, people, and also inappropriate content in images and video so that images and video can more safely and reliably be integrated and positioned in…

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://aws.amazon.com/rekognition/pric…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Amazon Rekognition?

Amazon Rekognition offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from images and videos.
  • Amazon Rekognition Content Moderation automates and streamlines image and video moderation workflows using machine learning (ML), to process millions of images and videos efficiently while detecting inappropriate or unwanted, with fully managed APIs and customizable moderation rules to keep users safe and the business compliant.

  • Amazon Rekognition Identity Verification has facial recognition and analysis capabilities that can be quickly added to user on-boarding and authentication workflows to verify opted-in users' identity online.
For more computer vision use cases and features. Amazon Rekognition helps :
  • Add pre-trained or customizable computer vision APIs to applications without building machine learning (ML) models and infrastructure from scratch.
  • Analyze millions of images, streaming, and stored videos within seconds, and augment human review tasks with artificial intelligence (AI).
  • Scale up and down based on business needs with fully managed AI capabilities and pay only for the images and videos analyzed.

Users pay only for what they use, without minimum fees, licenses, or upfront commitments.
Thousands of images and videos are free per month for 12 months with the AWS Free Tier

Learn more about content moderation and identity verification with AWS services and solutions.

Amazon Rekognition Features

  • Supported: Content Moderation: Detects potentially unsafe, inappropriate, or unwanted content across images and videos.
  • Supported: Face compare and search: Determines the similarity of a face against another picture or from a private image repository.
  • Supported: Face detection analysis: Detects faces appearing in images and videos and recognize attributes such as open eyes, glasses, and facial hair for each.
  • Supported: Labels: Detects objects, scenes, activities, landmarks, dominant colors, and image quality.
  • Supported: Custom labels : Detects custom objects such as brand logos using automated machine learning (AutoML) to train models with as few as 10 images.
  • Supported: Text detection: Extracts skewed and distorted text from images and videos of street signs, social media posts, and product packaging.
  • Supported: Celebrity recognition: Identifies well-known people to catalog photos and footage for media, marketing, and advertising.
  • Supported: Video segment detection : Detects key segments in videos, such as black frames, start or end credits, slates, color bars, and shots.
  • Supported: Streaming Video Events detection: Detects objects such as packages, pets, or people in real-time from live video streams.
  • Supported: Identity verification: Pre-trained facial recognition and analysis capabilities that can be added to user onboarding and authentication workflows to verify opted-in users' identity online.

Amazon Rekognition Videos

Amazon Rekognition is a fully managed computer vision service that enables developers to analyze images and videos for a variety of use cases including identity verification, content moderation, media intelligence, custom industrial automation, and workplace safety – no ML ski...
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Rekognition Custom Labels allows customers to build custom computer vision models in without needing specialized machine learning knowledge, helping extend the value of content moderation, identity verification, or other solution implementations to specific business needs. Th...
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Amazon Rekognition Content Moderation in action
See Amazon Rekognition and AWS Identity Verification in action
See Amazon Rekognition, AWS Content Moderation, and AWS Media2Cloud in action

Amazon Rekognition Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported LanguagesEnglish, Arabic, Russian, German, French, Italian, Portuguese, Spanish
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Comparisons

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Reviews and Ratings

(5)

Reviews

(1-2 of 2)

Great API for image and video processing

Rating: 9 out of 10
August 15, 2019
PB
Vetted Review
Verified User
Amazon Rekognition
1 year of experience
Amazon Rekognition is widely used in our organization for image-related projects of our clients. It is used for image processing and image classification. It is also used for object detection projects. Video processing and analysis is mainly done using Amazon Rekognition also. Natural language processing projects are done using this and facial recognition is being done using this.
  • Easy to use framework, just make API calls.
  • The accuracy is very good that we can rely on it.
  • It provides all functionalities for image and videos.
Cons
  • The cost is bit more for small scale companies.
  • For text processing, OCR is not available in amazon rekognition.
  • Only facial search is available in image search.
Amazon Rekognition is well suited for all image and videos analysis. Also, deep learning projects for image and video can easily be done using this. It is very easy to use so a beginner can also use it.
  • The best thing it made our work fast.
  • It reduces the chance of failure of a project which is based on image or video processing.
  • We can assign anyone in our team to work on this as it very easy to use.
It is very easy to use which is great. All functionalities are available for image and video processing.
Support of Amazon is great. So far we are having a great experience using it.
Accuracy and usability of amazon Rekognition are great. It provides many functionalities its competitors do not. Also, the Amazon service is great in general.
Amazon Elastic Compute Cloud (EC2)

Image and video analysis through API

Rating: 10 out of 10
August 15, 2019
SL
Vetted Review
Verified User
Amazon Rekognition
3 years of experience
Amazon Rekognition is a very easy solution to add image and video analysis to our applications using simple API calls. It is very easy to use and adding image tagging, object recognition, and various other image analysis has become too easy for us to add to any software or web app. Also, video tagging of it is very good and can be used for professional development.
  • Image tagging is very good.
  • Object detection is precise.
  • Video tagging has become very easy using Rekognition.
Cons
  • Uses API calls which delays operation sometimes.
It is very well suited for image processing and recognition based applications and can be easily used using API calls without actually. writing any code for image processing. It can be used with any professional software development as it is built with so much precision. I would not suggest it for a sole feature-based application like image tagging only because for that you can create your own algorithm specific to a domain you want.
  • Easy to use.
  • Costs get effected due to its subscription pricing.
Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process.
Had to use it for Python and its documentation was so great that I didn't have to go to any other references for implementing it.
  • Microsoft Cognitive Toolkit (CNTK)
It's easy to implement and its documentation is great compared to CNTK.
Slack, Zoom
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