Okay for image models I think humans could help a lot more than we give them credit for. We can read and parse images WAY faster than you might think. What if

Okay for image models I think humans could help a lot more than we give them credit for. We can read and parse images WAY faster than you might think. What if we just crowdsource and have a new Folding@home protein thing but this time it’s for classifying data sets? LAION-5B has 5 billion image text pairs, if we got 10,000 people together that’d just be… 100,000 per person which would take… awhile but not forever. Humans can notice discrepancies super quickly. Like a slide show display the image and the text pair at a speed set by the user, and pause and tweak ones that are outright wrong or shitty. Boom, refined image set. Maybe? I’m looking at the LAION-5B example sets on their website and it seems to literally be this simple. A lot of the images seemed pretty poorly tagged. You get a gigantic manually tagged data set, at least for image classification.