What are some examples of data augmentation for AI training?
Data augmentation techniques include rotation, flipping, scaling images, and adding noise to audio data.
Can you explain how rotation works in image data augmentation?
Sure! Rotation involves turning the image at various angles to create new training samples, helping the model generalize better.
What about text data? How can I augment that?
For text, you can use techniques like synonym replacement, random insertion, or back-translation to create variations.
Are there any tools that can help with data augmentation?
Yes, tools like Augmentor, Albumentations, and TextAttack can assist in automating data augmentation processes.
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