We optimise the representativeness and diversity of your datasets, to avoid harmful biases in your end-product. A RAD dataset improves machine learning model performance through quantifiable and actionable quality metrics.
We optimise the representativeness and diversity of your datasets, to avoid harmful biases in your end-product. A RAD dataset improves machine learning model performance through quantifiable and actionable quality metrics.
We scale your annotation pipeline by breaking your taxonomy into small, intuitive questions, which form a fully automated decision tree. We run multiple repeats to give you confidence scores on all of your annotations.
Is the real quality of your dataset unknown due to:
We take care of the detection and correction of your error sources.
Quality Match News and Events.
