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Your laziness doesn't help. Please improve your question more clearly. Are you talking about the performance of the cascade of weak classifier implementation?

• Digital zoom --> depends on the amount of artefacts you create ... but keeping in mind that a normal model is 24x24 pixels large, you will capture most of them
• Big face = no problem due to the scale pyramid. Your model defines the smallest possible scale detectable. Larger faces are no problem at all.