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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?
Metrics: I do whatever an array of metrics that are relevant, to the tasks such as PSNR, SSIM and FID (and one more I don't want to reveal). The first two aren't as sophisticated but they're fast and still helpful. I use all but FID after each epoch.
Thanks, interesting! Do you leverage video frames or streams as a data source for training / testing? Could be interesting to add a feature to invert the color of an image and then colorize/enhance it. For tintype photos.
I haven't really done much with video since August 2019, and I haven't tried that yet. It's on the radar though!
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