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Ground Truth
refers to a process, usually carried out on-site, for measuring the accuracy of a training dataset in proving or disproving a research hypothesis. For example, self-driving cars use ground truth data to train artificial intelligence to properly validate the road and street scenes.
Contributeurs: Claire Gorjux, Claude Coulombe, Imane Meziani, Patrick Drouin, wiki
