What are the main challenges in data annotation for AI?
An example of an AI chatbot conversation about data annotation challenges.
What are the main challenges in data annotation for AI?
Some key challenges include ensuring data quality, managing large datasets, and dealing with ambiguous labels.
How do you ensure data quality during annotation?
We implement rigorous quality control processes, including multiple rounds of review and using expert annotators.
What tools can help with data annotation?
There are several tools like Labelbox, Prodigy, and Amazon SageMaker that streamline the annotation process.
Can you explain the impact of poor data annotation?
Poor data annotation can lead to biased models, inaccurate predictions, and ultimately, failed AI projects.
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