Data Augmentation food 101 project #503
OnurAlp-Guvercin
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I did try adding Data Augmentation layer, and the results were not good in the feature extraction step as compared to without augmentation layer. Also when I added augmentation layer it gives an error while saving it, Further investigating found out that this is an issue for EfficientNetBX models and also there is a workaround for this inside this thread, https://github.com/keras-team/keras/issues/17199 TF Version: 2.11.0 |
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Is there a specific reason about why we did not used data augmentation in the final big project of food 101?
Or just it is an experiment to take?
Or the reason is that we tried several model before and we saw data augmentation is not helpful in our case?
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