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This sounds a lot like your own image data lake pattern. Raw, transformed, curated, published images. On cheap storage. How do you track the models, versions and what inputs / parameters affected the model? How are outcomes measured / what metrics would you review?
One more thing: I've tried W&B but I found I was running into a case of having a whole bunch of data that was both overwhelming and almost entirely meaningless. I think what's more important anyway is development an intuition for what works and what doesn't by -doing-.
Isn't this a function of what data you choose to log?
Sure. I'm saying I had a tool that allowed me to log everything and I did. That's probably very common. Yet I really didn't need any of it in my case. It wound up being a tool I simply didn't need and getting to that point involved thinking critically about it.
Maybe a brainfart or maybe I'm missing lingo, but what is W&B?
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