New: WildDash 2 with 4256 public frames, new labels & panoptic GT!
See also: RailSem19 dataset for 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.
Complex rail scenarios
Inner-city tram scenes
From all over the world
Difficult weather / lighting
RailSem19 is a dataset supplied to the scientific community for free (usage/license terms apply, see license and readme bundled with the release). All WildDash users can download RailSem19 at the Download section. We currently do not provide a benchmark dataset or public ranking for RailSem19.
