RailSem19 (RailSem19: A Dataset for Semantic Rail Scene Understanding)
Introduced by Zendel et al. in RailSem19: A Dataset for Semantic Rail Scene Understanding
RailSem19 offers 8500 unique images taken from a the ego-perspective of a rail vehicle (trains and trams). Extensive semantic annotations are provided, both geometry-based (rail-relevant polygons, all rails as polylines) and dense label maps with many Cityscapes-compatible road labels. Many frames show areas of intersection between road and rail vehicles (railway crossings, trams driving on city streets). RailSem19 is usefull for rail applications and road applications alike.
Image credit: https://wilddash.cc/railsem19
Papers
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