Technical reports · 2020.08
openGENESIS: a reliable AI data-labeling process
Process considerations: A reliable AI data labeling process
Overview
The TÜV SÜD/Incenda AI white paper addresses data/label quality and traceability across the supervised-ML lifecycle. It defines roles and activities for labeling specifications, task distribution, artifact merging, quality assurance and performance optimization.
Version: 1.3