alex_lite_21 t1_iyi9g5g wrote
I agree on this. Relates to the garbage in-garbage out concept. I am not also a fan of data augmentation, at least not in the way that it is commonly done without thinking to much. Getting high quality data is paramount.
fourcornerclub OP t1_iylq3v5 wrote
u/alex_lite_21 yeah the status quo of data augmentation to me seems to read like "oh i scraped together quite a shit training set here. Maybe I'll play with it to make it less shit". Rather than thinking "how do I robustly collect a highly suitable dataset from the outset and then iterate from there"
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