[alexcg1]

Since I helped build it, I'll explain :)

This example is quick and dirty, indexing only about 1,000 images from a dataset we pulled from Kaggle. So if results suck, that's due to either the meme you search for not being in the dataset, or it just didn't get indexed in the random batch of 1,000.

[rockemsockem]

> So if results suck ...

Not trying to be harsh here, but if you only index 1000 random images and call it a meme search then it's going to suck. So it sucks because you all really didn't think this through. What are we supposed to take away from this? I have no way to evaluate the usefulness of the tech because it isn't capable of doing anything atm.

[alexcg1]

I'm putting more info here: http://examples.jina.ai:8501/?tab=Dude,%20this%20meme%20sear...

[potamic]

I see. 1000 is probably a bit less to showcase a search concept but this is definitely a very interesting problem.

[alexcg1]

I'm indexing 10k as we speak. At least for text. Indexing 10k images will take a bit longer.

[alexcg1]

10k memes are now indexed for text. So if you search for Wonka memes you'll get a lot better results.

Also swapped out the model