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careful about perception issues- you misremember stuff easily, and literally see things differently depending on context. So I don’t necessarily take a first go at it as the final say as to whether or not the model is great or not.
And yes this process drives me nuts and please tell me if there’s a better way lol
If you've got a collection of M trained models, you could crowd source the process of finding the best by repeatedly presenting users with the output for a given photo from 2 of them, and ask them which gives the best result, using a duelling bandit algorithm to determine which 2
I'm sure you'd be able to get a large number of people interested
Unpaid interns.
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