AWS Rekognition

• It is an image analysis and Recognition software which was built on top of deep learning technologies.
• In image recognition through deep learning we try to recognize images through learning from data.
• But with AWS Rekognize we can build scalable for image recognition apps without need to learn any deep learning technologies.

It was released in 2016

• We need to give a picture and get back a json showing information about the picture.
• It is capable of doing face rekognition, object detection & localization, age analysis and many other things.

Start with aws console

• Open aws
• Login to the console
• Search for Rekognition
• Click on Try Demo
• Click on Upload a image to try with an image
  • The Result bar will show the accuracy for each class.
  • Click the Response to see the Result in json.

Start with aws CLI

• Create a aws S3 bucket

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• Store the test image in the bucket

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• Refer this link for S3 tutorial.

• Got to the terminal

  • The terminal should be configured with aws functionalities.

• Type --> aws rekognition detect-labels --image “S3Object={Bucket=name-of-bucket,Name=test.jpg}” --region us-west-2

• Click Enter

• This will show a response in json LABELS 97.5228042602539 Cosmos LABELS 89.71295166015625 Blossom LABELS 89.71295166015625 Flora LABELS 89.71295166015625 Flower LABELS 89.71295166015625 Geranium LABELS 89.71295166015625 Plant LABELS 66.86774444580078 Crocus LABELS 61.45215606689453 Daisies LABELS 61.45215606689453 Daisy LABELS 58.925926208496094 Aster LABELS 55.03359603881836 Dahlia LABELS 53.56421661376953 Petal LABELS 50.99127960205078 Asteraceae

To get help on other commands

• Type --> aws rekognition help

For Full video lecture go here : The link

Github Repo for the video : Github