[rhsimplex]

I also developed a service based on the Goldberg paper in the mid 2010s. We flattened and discretized the signature to make it searchable which gave us pretty good results: https://github.com/ProvenanceLabs/image-match

Sorry I haven’t maintained the project in years so it’s unlikely to work out of the box. But who knows, maybe you’ll find something useful here for your project!

[hannah-pdx]

Ooh, very cool. Were the quoted insertion rates including the vectorization times, and was that using the ES or Mongo backend?

[hannah-pdx]

Oh, and did you explore using more lightness buckets than the 5 from the paper?

[rhsimplex]

The insertion rates were based on the elasticsearch backend, with multiple shards/nodes (using the already flattened image signatures). Don't remember specifics unfortunately. I never tried it with more than 5 lightness buckets, sorry!