Hi Elastic! We're using deep convolutional neural networks to fast process images and make the building of image similarity search engines a commodity for everyone. Our pipeline uses the neural nets to turn images into actionable binary (or float) hash codes that are then used for image similarity …

What is the best scheme for similarity search based on binary codes with Elasticsearch ? (Context is image search with deep nets)

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