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What are common mistakes to avoid with Image Processing Fundamentals
IntermediateAnswer
A common mistake with Image Processing Fundamentals is applying it without fully understanding the underlying data or problem, which often leads to weak or misleading results. Skipping proper testing before relying on it in a real project is another frequent error.
Real-world example A medical imaging system resizes and normalizes X-ray images before feeding them into a diagnostic AI model.