What are the main challenges in AI image processing?
Some key challenges include data quality, computational power, and algorithmic bias.
Can you explain how data quality affects image processing?
Data quality is crucial; poor quality images can lead to inaccurate models and results.
What about computational power? Why is it important?
High computational power is needed for processing large datasets and complex algorithms efficiently.
How does algorithmic bias impact AI image processing?
Algorithmic bias can lead to unfair or inaccurate outcomes, especially in sensitive applications.
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