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Doc/visualize transformations #24

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This PR introduces a general-purpose visualization notebook aimed at facilitating the inspection of our augmentation transformations.

The notebook provides a comprehensive interface to view and understand the effect of each augmentation on our data. This understanding is crucial as it helps us determine the utility and efficacy of each transformation in enhancing our model's learning.

In this notebook, you will find:

A gallery of images for each type of augmentation, displaying both the original and augmented images for easy comparison.

Add also an utils.py file with a function to get transformations info.
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