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Data Normalisation about hamlyn2021 HOT 4 CLOSED

NMontanaBrown avatar NMontanaBrown commented on August 23, 2024
Data Normalisation

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Comments (4)

joeranbosma avatar joeranbosma commented on August 23, 2024 1

The vast majority of depths lie within the range [0, 300]:
image

Only 8 pixels have depths that exceed this (0.0000003456858%). I think normalising by dividing by 300 and clipping to [0, 1] is sufficient. This has the advantage that the depth labels are still linearly scaled, and interpretation is easy.

Do we want to alter the distribution? For example, make it uniform or Gaussian?

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NMontanaBrown avatar NMontanaBrown commented on August 23, 2024 1

Thanks for looking at this - nice analysis. For now lets not alter the distribution? Seems like a highly skewed learning problem, looking at the peak and distr, will be interesting if learnable as is?

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NMontanaBrown avatar NMontanaBrown commented on August 23, 2024

Wait, are there functions to get rid of the pixels past 300 depth? I meant more as in the distribution after what you said.

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joeranbosma avatar joeranbosma commented on August 23, 2024

The depths > 300 are now clipped to 300

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