What are some common errors in image recognition?
Common errors in image recognition include misclassification, false positives, and false negatives.
Can you explain what misclassification means?
Misclassification occurs when an image is incorrectly identified as a different category than it actually belongs to.
What causes false positives in image recognition?
False positives happen when the system incorrectly identifies an object that isn't present in the image.
How can these errors be minimized?
Errors can be minimized by using better training data, improving algorithms, and incorporating more diverse examples.
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