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Importance of Data Annotations for Machine Learning Systems
The success of machine learning systems in real-world applications heavily relies on the quality of data annotations, data selection, and the annotations themselves. Data annotations account for at least 90% of the value and the ROI in real-world applications of machine learning systems.