What are data annotations and why are they important?
An example of an AI chatbot conversation about data annotations and their significance in AI.
What are data annotations and why are they important?
Data annotations are labels or tags added to data to help train AI models. They are crucial for supervised learning.
Can you give me examples of data annotation types?
Sure! Common types include image labeling, text classification, and audio transcription.
How do data annotations improve machine learning models?
They provide the necessary context for models to learn patterns, improving accuracy and performance.
What tools are available for data annotation?
There are several tools like Labelbox, Amazon SageMaker Ground Truth, and VGG Image Annotator that facilitate data annotation.
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