Datasets:
Add Mueller matrix normalization guidance: README.md
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README.md
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## Physical Parameter Definitions
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The target tensor follows this channel order and nominal parameter range:
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```text
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- Waveplate target arrays are stored from the source `.npy` files as float32.
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- Spectral target arrays were converted from grayscale PNG files to float32
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values normalized to `[0, 1]`; see `target_encoding`.
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## Reference Label Generation
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as agreement with a physics-solver reference and related physics consistency,
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not as proof of absolute biological ground truth.
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## License
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This dataset is released under CC BY-NC 4.0.
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## Physical Parameter Definitions
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Mueller matrix elements are generally expected to lie within `[-1, 1]` after
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normalization. In measured data, small deviations outside this range may occur
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because of acquisition noise, calibration differences, numerical processing, or
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normalization error. Users should inspect the value distribution for their split
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and apply task-appropriate preprocessing before training, such as clipping,
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standardization, or normalization based on the training set.
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The target tensor follows this channel order and nominal parameter range:
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```text
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- Waveplate target arrays are stored from the source `.npy` files as float32.
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- Spectral target arrays were converted from grayscale PNG files to float32
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values normalized to `[0, 1]`; see `target_encoding`.
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- Mueller matrix tensors are stored as measured/processed values, not forcibly
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clipped to `[-1, 1]`.
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## Reference Label Generation
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as agreement with a physics-solver reference and related physics consistency,
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not as proof of absolute biological ground truth.
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Measured Mueller matrix entries may be slightly outside the nominal `[-1, 1]`
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range. This is expected for real acquisition pipelines; users should decide
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whether to clip, standardize, or otherwise normalize values according to their
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training protocol.
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## License
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This dataset is released under CC BY-NC 4.0.
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