/rekognition-image-search-engine

Reference implementation on building a local image search engine that uses Amazon Rekognition image labels to create an inverted index.

Primary LanguagePythonOtherNOASSERTION

rekognition-image-search-engine

Reference implementation on building a local image search engine that uses Amazon Rekognition image labels to create an inverted index.

Architecture

![alt text] (https://s3.amazonaws.com/smallya-test/localserachengine-architecture.png "Local Image Search Engine with Rekognition")

Instructions

(Tested on Mac OSX)

  • pip install pillow

  • pip install wordcloud

  • Create a directory called 'photos' and add some images in it.

  • Run the indexer:

    $ python2.7 indexer.py

  • A new file called web/photo_tags.png is created with the tags of the photos.

License

This code sample is licensed under the Amazon Software License.