Learnings from creating a training dataset for autonomous driving

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Learnings from creating a training dataset for autonomous driving

Event: AutoSens Brussels

, 2017

•How to enable autonomous vehicles to recognize objects in context, no matter the weather, time of day or season •Reconsidering the image-labelling workflow and getting to the highest levels of pixel-point precision •Drilling into the challenges of creating semantic segmentation masks, including workflow design and annotation tools, and performing these tasks at scale