Categorizing images with deep learning into Elasticsearch

[mainec (Isabel Drost-Fromm)]

@beniz

I've built a short pipeline for using deep learning over images (e.g. for image categorization) and indexing them into Elasticsearch. I thought this could be of interest to other practitioners as well. In a nutshell, this allows to tag and retrieve image documents via ES even when no caption is available.

The examples in your tutorial look really nice - both the actual tagging but also the ease of integrating with Elasticsearch.

[quote="beniz, post:1, topic:33217"]
On the technical side, a deep learning server directly pushes the image classification results into an instance of ES, so that no glue code is necessray.[/quote]

So essentially you are making those classification results easily available and searchable through ES, right? Sounds like a useful integration to me.

@beniz

This type of coupling is pretty generic and should capture a larger set of common cases, from text classification to prediction based on a variety of features and data.

Just a random thought wrt. to text classification in particular: Right now you are using ES as a sink for the data your model generates. There's quite some few text analysis and pre-processing capabilities that ES ships with. I'm wondering what it would take to integrate those with DeepDetect (and whether you think this would make any sense at all).

Thanks for sharing your interesting project,
Isabel