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Sure, it absolutely makes sense to adjust models to account for biased inputs. Say for instance the pictures you train on are from tundra but you want to use th
by colordrops 4y ago
Sure, it absolutely makes sense to adjust models to account for biased inputs. Say for instance the pictures you train on are from tundra but you want to use the model in a jungle region. But you should use vetted stats to determine the nature of the landscape to feed them model (e.g. 95% of land is jungle, so feed 95% jungle images), rather than feeding it tundra images because you think the jungle is too hot.
- dragonwriter 4y agoIf its a model for art, I’ll absolutely feed it tundra images if I think the jungle is (or just looks) too hot. Of course, I’ll also embrace the projected cool vibe of the resulting imagery as a feature, and won’t object to people pointing out that the model is biased toward tundra over jungle and that is something users who aren’t actively looking for that bias might want to be aware of.