Technical GlossaryComputer Vision
Image Normalization
A preprocessing step that brings pixel values into a defined range or distribution to make model training more stable.
Image normalization is one of the most fundamental yet impactful preparation steps in computer vision pipelines. Scaling pixel values reduces intensity differences across data sources and makes the optimization process more consistent. In deep learning models, it directly affects activation behavior, gradient flow, and training stability. It is a classic example of how preprocessing quality shapes model performance.
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