What are some common mistakes in annotating data?
An example of an AI chatbot conversation about common mistakes in data annotation.
What are some common mistakes in annotating data?
Some common mistakes include inconsistent labeling, overlooking edge cases, and not following guidelines.
Can you give examples of inconsistent labeling?
Sure! For instance, labeling the same object differently in different images, like calling a dog a 'puppy' in one and 'dog' in another.
How can I avoid overlooking edge cases?
To avoid overlooking edge cases, ensure you review a diverse set of examples and include them in your training data.
What guidelines should I follow for effective annotation?
Follow clear, detailed guidelines that define categories, examples, and edge cases to ensure consistency and accuracy.
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