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A CNN is deployed in AWS to extract image features in the context of distributed computing.

License: MIT License

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apache-spark aws-emr-clusters aws-iam aws-s3 big-data cloud distributed-computing

deploy-a-cnn-in-aws-image-features-extraction-and-acp's Introduction

Deploy-a-CNN-in-AWS-image-features-extraction-and-ACP

Aim of the project

  • This project consists in running a CNN (MobileNet-V2) in an AWS Elastic Map Reduce(EMR) Cluster in order to extract features of 100 images of fruits which are stored in AWS Simple Storage Solution (S3).
  • The idea is to validate the image processing chain on a small number of images so that it can be used when the number of images will increase dramatically (the scaling can be easily performed by adding more EMR clusters).
  • Once extracted, the features are stored in AWS S3 and a Principal Component Analysis (PCA) is performed.

Walkthrough the results

  • Implementation of the AWS EMR cluster :
    cluster_EMR

  • Result of the PCA with classification of the different fruits :

PCA

deploy-a-cnn-in-aws-image-features-extraction-and-acp's People

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