this post was submitted on 26 Jul 2024
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So basically AI is good at categorizing data where perfect accuracy isn't needed, but manual categorization isn't feasible.
Kinda,
AI is great where statistical accuracy is more valuable.
This would be a good test to run competitive models over, one model is optimized to find the target tree with a 80+% confidence, the second model is optimized to find all trees which are not the target with the same confidence. Where the two models agree, run the first model again but with a confidence requirement of 99+% (which will take much longer to run) over the smaller data set.