Semantic Segmentation Datasets for Autonomous Driving
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Myriad efforts have been made over the last 10 years in algorithmic improvements and dataset creation for semantic segmentation tasks. Of late, there have been rapid gains in this field, a subset of visual scene understanding, due mainly to contributions by deep learning methodologies. But deep <a href="https://hackernoon.com/tagged/learning" target="_blank">learning</a> techniques have an Achilles’ heel of consuming vast amounts of annotated data. Here we review some widely used and open, urban semantic segmentation datasets for Self Driving Car applications.