What are the main challenges of using AI in satellite imagery?
Some key challenges include data quality, processing power, and the need for large labeled datasets.
How does data quality affect AI performance in this context?
Data quality impacts the accuracy of AI models; poor quality data can lead to incorrect interpretations.
What role does labeled data play in training AI models?
Labeled data is crucial for supervised learning, as it helps the model learn to identify patterns and make predictions.
Are there any ethical concerns related to AI in satellite imagery?
Yes, ethical concerns include privacy issues and the potential for misuse of surveillance data.
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