Preview: AWS Amazon Rekognition – Deep Learning Face and Image Recognition Service
Table of Contents
Description:
Amazon Rekognition makes it easy to add image 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, 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.
Set Up:
- Create IAM User with Amazon Rekognition and Amazon S3 policies attached.
- Simply include into the configurations your AWS IAM User Access and Secret Access Key and your AWS S3 Bucket Name and you are all set!
Benefits of Amazon Rekognition:
- Deep Learning Technology
- No Machine Learning expertise required
- Provides highly accurate facial analysis
- Provides highly accurate facial search capabilities
- Identify thousands of objects and scenes
- Identify potentially unsafe or inappropriate content
- Read skewed and distorted text to capture various information
- Quickly identify well known people in the image
- Identify products, landmarks and brands
- Detect up to 100 faces in an image
- Compare up to 15 detected faces
- Adjust probability of given prediction
- Up to 15MB stored as Amazon S3 object size (Image File size)
- Support PNG & JPEG image formats
- Can detect up to 50 Words in an image
- “Pay as you go” payment model
- Easy to customize
Cost of Running Amazon Rekognition – Image Recognition Service:
- You can use any hosting platform as you prefer for the application itself
- AWS Account (Free to Open – You will be on Free Tier for the 1st year)
- Amazon S3 Storage Cost (For Data Storage and Data Traffic Out)
As part of the AWS Free Tier, you can get started with Amazon Rekognition Image at no cost. The Free Tier lasts 12 months and allows you analyze 5,000 images per month and store 1,000 pieces of face metadata per month.
Amazon Rekognition charges you each time you analyze an image using our APIs. Running multiple APIs against a single image counts as processing multiple images.
- For Up-to-Date Prices – Click Here
Installation Instructions:
Setup Requirements:
- AWS PHP SDK v3 is Required (Already comes with the App) – Setup Link
- AWS IAM User Amazon Rekognition and Amazon S3 Access Policies attached – Setup Link
- Amazon S3 Bucket with Public Access – Setup Link
- Also Listed and Explained in the Documentation
Credits:
- Foggy by Nbartlomiej
- jCanvas by Caleb Evans
Release Notes – Change Logs:
06.05.2020 - 1.0.1
- Update: Documentation update
- Fix: Minor bug fixes
16.03.2020 - 1.0.0
- Initial Release
TMDb Pro – Movie & TV Show Details Plugin For The Movie Database
AWS Amazon Rekognition – Deep Learning Face and Image Recognition Service
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industrys standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Why do we use it?
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using Content here, content here, making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for lorem ipsum will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
Where does it come from?
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source. Lorem Ipsum comes from sections 1.10.32 and 1.10.33 of “de Finibus Bonorum et Malorum” (The Extremes of Good and Evil) by Cicero, written in 45 BC. This book is a treatise on the theory of ethics, very popular during the Renaissance. The first line of Lorem Ipsum, “Lorem ipsum dolor sit amet..”, comes from a line in section 1.10.32.
Where can I get some?
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which dont look even slightly believable. If you are going to use a passage of Lorem Ipsum, you need to be sure there isnt anything embarrassing hidden in the middle of text. All the Lorem Ipsum generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet. It uses a dictionary of over 200 Latin words, combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always free from repetition, injected humour, or non-characteristic words etc.
Download AWS Amazon Rekognition – Deep Learning Face and Image Recognition Service Nulled
Download AWS Amazon Rekognition – Deep Learning Face and Image Recognition ServiceNote: If you are having trouble with AWS Amazon Rekognition – Deep Learning Face and Image Recognition Service Nulled free Download, try to disable AD blocking for the site or try another Web Browser. If disabling AD blocker or change Web Browser not help to you please contact us.
