What are some effective image preprocessing methods?
Some effective image preprocessing methods include normalization, resizing, and data augmentation.
Can you explain normalization in more detail?
Normalization adjusts the pixel values to a common scale, often between 0 and 1, to improve model performance.
What is data augmentation and why is it important?
Data augmentation involves creating variations of images to increase the dataset size, helping to prevent overfitting.
Are there any specific libraries you recommend for these methods?
Yes, libraries like OpenCV, PIL, and TensorFlow offer great tools for image preprocessing.
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