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Showing content from https://keras.io/api/layers/preprocessing_layers/image_augmentation/cut_mix below:

CutMix layer

[source]

keras.layers.CutMix(factor=1.0, seed=None, data_format=None, **kwargs)

CutMix data augmentation technique.

CutMix is a data augmentation method where patches are cut and pasted between two images in the dataset, while the labels are also mixed proportionally to the area of the patches.

Arguments

• factor: A single float or a tuple of two floats between 0 and 1. If a tuple of numbers is passed, a factor is sampled between the two values. If a single float is passed, a value between 0 and the passed float is sampled. These values define the range from which the mixing weight is sampled. A higher factor increases the variability in patch sizes, leading to more diverse and larger mixed patches. Defaults to 1.
• seed: Integer. Used to create a random seed.

References

• CutMix paper.

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