Amazon Rekognition - Image Analysis Overview

•

0 likes•868 views

Learn about the newly announced Amazon Rekognition with a hands-on session by Alex Casalboni. Find out how deep learning is powering Amazon's Image Analysis service and which use cases are supported, with respect to other frameworks and APIs.

Engineering

clda.co/rekogni.on12/22/2016
Amazon Rekogni.on
Image Analysis Overview

Image Analysis Context
clda.co/rekogni.on
Object Detec?on
Extrac.on of labels
Tagging w/ Conﬁdence
Facial Analysis
Face detec.on
Face comparison
Face search

Facial Analysis
clda.co/rekogni.on
Face Detec?on != Face Recogni?on
Image scan
Loca.on & features
Conﬁdence ~ Detec.on
Numerical representa.on
Vectors comparison
Conﬁdence ~ Similarity

clda.co/rekogni.on
60% of the ?me, it works every ?me!

Python Examples
clda.co/rekogni.on
clda.co/rekogni.on-‐python

Face Details -‐ ALL AWributes
clda.co/rekogni.on

Face Indexing and Collec?ons
clda.co/rekogni.on
User B
Face Collec.on
Search
by Face
dc090f86-48a4-5f09-905f-44e97fb1d455
bh020ftl-12a3-ho09-1355-21blpfb42acd
011bdsa1-op5j-gf14-bhg2-1p7agds6mca9
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
………………..………………..………………..……………
User A
Index new
Images

Face Indexing and Collec?ons
clda.co/rekogni.on

S3 Events & Rekogni?on Architecture
clda.co/rekogni.on
User S3 Bucket Lambda
DynamoDB
CloudSearch
Rekognition
or
Upload Trigger
Index
Put Item
Commit

Authen?ca?on & Rekogni?on Architecture
clda.co/rekogni.on
User API Gateway Lambda
Authorizer
DynamoDBRekognition
Call Invoke
Search Get Item

Thank you!
12/22/2016 clda.co/rekogni.on
Q & A

Viewers also liked

Introduction to the Serverless paradigmAlex Casalboni

Introduction to building alexa skills and putting your amazon echo to workAbe Diaz

AWS re:Invent 2016: Building IoT Applications with AWS and Amazon Alexa (HLC304)Amazon Web Services

AWS re:Invent 2016: Workshop: Creating Voice Experiences with Alexa Skills: F...Amazon Web Services

An Introduction to KubernetesImesh Gunaratne

Cloud Academy & AWS: how we use Amazon Web Services for machine learning and ...Alex Casalboni

Alexa bootcamp - Skill building 101Amazon Web Services

Serverless Italy - Lambda@Edge (Preview)Alex Casalboni

New Threats, New Approaches in Modern Data CentersIben Rodriguez

Troubleshooting Java HotSpot VMPoonam Bajaj Parhar

In-Memory Distributed Computing - Porto Tech HubChristoph Engelbert

Product comparisonsmartcomparisons

Morning Session - AWS Serverless Waysakitsukada

[Defcon Russia #29] Михаил Клементьев - Обнаружение руткитов в GNU/LinuxDefconRussia

Golang 101 (Concurrency vs Parallelism)Pramesti Hatta K.

menRDC - MEN Railway Data CenterMEN Mikro Elektronik GmbH

SUSE Expert Days 2017 LENOVOSUSE España

Viewers also liked (17)

Introduction to the Serverless paradigm

Introduction to building alexa skills and putting your amazon echo to work

AWS re:Invent 2016: Building IoT Applications with AWS and Amazon Alexa (HLC304)

AWS re:Invent 2016: Workshop: Creating Voice Experiences with Alexa Skills: F...

An Introduction to Kubernetes

Cloud Academy & AWS: how we use Amazon Web Services for machine learning and ...

Alexa bootcamp - Skill building 101

Serverless Italy - Lambda@Edge (Preview)

New Threats, New Approaches in Modern Data Centers

Troubleshooting Java HotSpot VM

In-Memory Distributed Computing - Porto Tech Hub

Product comparison

Morning Session - AWS Serverless Ways

[Defcon Russia #29] Михаил Клементьев - Обнаружение руткитов в GNU/Linux

Golang 101 (Concurrency vs Parallelism)

menRDC - MEN Railway Data Center

SUSE Expert Days 2017 LENOVO

Recently uploaded

Danikor Product Catalog- Screw Feeder.pdfthietkevietthinh

Integrated Test Rig For HTFE-25 - NeometrixNeometrix_Engineering_Pvt_Ltd

Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwaitjaanualu31

8th International Conference on Soft Computing, Mathematics and Control (SMC ...josephjonse

Introduction to Geographic Information SystemsAnge Felix NSANZIYERA

Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...dannyijwest

Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...Payal Garg #K09

Hospital management system project report.pdfKamal Acharya

S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxSCMS School of Architecture

Post office management system project ..pdfKamal Acharya

litvinenko_Henry_Intrusion_Hong-Kong_2024.pdfAlexander Litvinenko

PE 459 LECTURE 2- natural gas basic concepts and propertiessarkmank1

Computer Networks Basics of Network DevicesChandrakantDivate1

Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Kandungan 087776558899

Max. shear stress theory-Maximum Shear Stress Theory Maximum Distortional ...ronahami

Electromagnetic relays used for power system .pptxNANDHAKUMARA10

School management system project Report.pdfKamal Acharya

Ground Improvement Technique: Earth ReinforcementDr. Deepak Mudgal

scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...HenryBriggs2

Path loss model, OKUMURA Model, Hata ModelDrAjayKumarYadav4

Recently uploaded (20)

Danikor Product Catalog- Screw Feeder.pdf

Integrated Test Rig For HTFE-25 - Neometrix

Kuwait City MTP kit ((+919101817206)) Buy Abortion Pills Kuwait

8th International Conference on Soft Computing, Mathematics and Control (SMC ...

Introduction to Geographic Information Systems

Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...

Unsatisfied Bhabhi ℂall Girls Ahmedabad Book Esha 6378878445 Top Class ℂall G...

Hospital management system project report.pdf

S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx

Post office management system project ..pdf

litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf

PE 459 LECTURE 2- natural gas basic concepts and properties

Computer Networks Basics of Network Devices

Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil

Max. shear stress theory-Maximum Shear Stress Theory Maximum Distortional ...

Electromagnetic relays used for power system .pptx

School management system project Report.pdf

Ground Improvement Technique: Earth Reinforcement

scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...

Path loss model, OKUMURA Model, Hata Model

Amazon Rekognition - Image Analysis Overview

1. clda.co/rekogni.on12/22/2016 Amazon Rekogni.on Image Analysis Overview

2. About Me @alex_casalboni clda.co/rekogni.on Bachelor in Computer Science Master in Sound & Music Engineering Web Developer (6+ years) Cloud Evangelist @ Cloud Academy

3. Image Analysis Context clda.co/rekogni.on Object Detec?on Extrac.on of labels Tagging w/ Conﬁdence Facial Analysis Face detec.on Face comparison Face search

4. What is NOT supported (yet)? clda.co/rekogni.on Op.cal Character Recogni.on (OCR) Explicit content (nudity, violence, etc.) Logo detec.on (popular products) Image rendering (landmarks, boxes, etc.)

5. clda.co/rekogni.on

6. clda.co/rekogni.on

7. Facial Analysis clda.co/rekogni.on Face Detec?on != Face Recogni?on Image scan Loca.on & features Conﬁdence ~ Detec.on Numerical representa.on Vectors comparison Conﬁdence ~ Similarity

8. clda.co/rekogni.on

9. clda.co/rekogni.on

10. clda.co/rekogni.on

11. clda.co/rekogni.on

12. clda.co/rekogni.on

13. clda.co/rekogni.on 60% of the ?me, it works every ?me!

14. clda.co/rekogni.on

15. clda.co/rekogni.on

16. clda.co/rekogni.on

17. clda.co/rekogni.on

18. Python Examples clda.co/rekogni.on clda.co/rekogni.on-‐python

19. Face Details clda.co/rekogni.on

20. Face Details -‐ ALL AWributes clda.co/rekogni.on

21. Face Representa?on clda.co/rekogni.on

22. Face Indexing and Collec?ons clda.co/rekogni.on User B Face Collec.on Search by Face dc090f86-48a4-5f09-905f-44e97fb1d455 bh020ftl-12a3-ho09-1355-21blpfb42acd 011bdsa1-op5j-gf14-bhg2-1p7agds6mca9 ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… ………………..………………..………………..…………… User A Index new Images

23. Face Indexing and Collec?ons clda.co/rekogni.on

24. S3 Events & Rekogni?on Architecture clda.co/rekogni.on User S3 Bucket Lambda DynamoDB CloudSearch Rekognition or Upload Trigger Index Put Item Commit

25. Authen?ca?on & Rekogni?on Architecture clda.co/rekogni.on User API Gateway Lambda Authorizer DynamoDBRekognition Call Invoke Search Get Item

26. Thank you! 12/22/2016 clda.co/rekogni.on Q & A

Amazon Rekognition - Image Analysis Overview

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (17)

Recently uploaded

Recently uploaded (20)

Amazon Rekognition - Image Analysis Overview