What are some examples of data augmentation for AI models?
Data augmentation techniques include rotation, flipping, scaling, and adding noise to images.
Can you explain how rotation works in data augmentation?
Rotation involves changing the orientation of an image by a certain angle, which helps the model learn invariance.
What about text data? How can I augment that?
For text data, you can use techniques like synonym replacement, random insertion, and back-translation.
Are there any tools that can help with data augmentation?
Yes, tools like Augmentor, Albumentations, and TextAttack can assist with various data augmentation tasks.
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