In my experience, staying close to the storage format is very useful because it allows the neural network to correctly deal with clipped/saturated values. If yo

In my experience, staying close to the storage format is very useful because it allows the neural network to correctly deal with clipped/saturated values. If your file is saved in sRGB and you train in sRGB, then when something turns to 0 or 255, the AI can handle it as a special case because most likely it was too bright or too dark for your sensor to capture accurately. If you first transform to a different color space, that clear clip boundary gets lost. Also, I would prefer sRGB oder RGB because it more closely matches the human vision system. That said, the RGB to YUV transformation is effectively a matrix multiplication, so if you use conv features like everyone then you can merge it into your weights for free.