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

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