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

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 MIT-0 License.