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What is best practice of augmentation on Imbalance dataset?
April 29, 2024, 9:44 a.m. | /u/SheepherderVivid254
Deep Learning www.reddit.com
After I browse articles on the internet, many say that data augmentation should be applied only to training data after data splitting (training:validation:testing).
But in my case, I have imbalanced data. If I only apply augmentation to the training data, the validation and testing data will still be unbalanced.
(Is this a problem?)
What is the best practice for this? I hope you can help me.
Thank you!
Note: This …
apply articles augmentation case college data dataset deep learning deeplearning hello internet practice testing training training data validation
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