I work in an innovation ML-oriented lab, and we have a hard time identifying use cases with real added values.
So I wondered: who had the initiative to use ML in riviera, the riviera team or the ML team? How do you collabore between the two teams/worlds (production team and data science team)?
Thanks a lot, I didn't expect I would enjoy scrolling through old paintings like I did!
Would you consider introducing a comment section? I'm mostly interested in a few words about the context of the painting or understand some weird elements on the painting, and I'm pretty convinced a comment section would do the job.
Does anyone know how to combine vector similarity search with more conventional field-based search (using elasticsearch for example)?
For example, given a set of labeled images, a user should be able to compose a query using a combination of filters (like size or description) along with a reference image (the vector).