State-of-the-Art Semantic Segmentation models need to be tuned in terms of memory consumption and fps output to be used in time-sensitive applications like autonomous vehicles. Here we study models like FCN, SegNets, ENets, and ICNets.
An understanding of open data sets for urban semantic segmentation shall help one understand how to proceed while training models for self-driving cars. Explore datasets like Mapillary Vistas, Cityscapes, CamVid, KITTI and DUS.
“They say it always seems impossible until it is done.” In 2017, we set out to make it faster and easier to gather training data with Playment. We gained 16 new team members, nearly doubling the team size to 40 folks.