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FBSPL | September 5, 2024
To ensure data diversity, we have a set of guidelines in place, which include but are not limited to the following:
Identifying and annotating a wide range of features that capture different aspects of the data
Applying changes like rotation, cropping, and noise to enhance the existing dataset
Engaging annotators from diverse backgrounds and demographics to bring a range of perspectives to the dataset
Eliminating human biases or discriminatory outcomes
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How does your team ensure data diversity in data annotation services?
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