What are the main challenges of AI in image processing?
Some key challenges include data quality, algorithm bias, computational power, and the need for large datasets.
How does data quality affect image processing?
Data quality is crucial; poor quality images can lead to inaccurate models and unreliable results.
What is algorithm bias in this context?
Algorithm bias occurs when the AI model produces skewed results due to biased training data.
Can you give examples of how computational power is a challenge?
Sure! High-resolution images require significant processing power, which can limit real-time applications.
What are some solutions to these challenges?
Solutions include improving data collection methods, using advanced algorithms, and leveraging cloud computing.
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