|Description (include details on usage, files and paper references)||The SYNTHetic collection of Imagery and Annotations, is a dataset that has been generated with the purpose of aiding semantic segmentation and related scene understanding problems in the context of driving scenarios. SYNTHIA consists of a collection of photo-realistic frames rendered from a virtual city and comes with precise pixel-level semantic annotations.
Large volume of data & groundtruth: +200,000 HD images from video streams and +20,000 HD images from independent snapshots
Scene diversity: European style town, modern city, highway and green areas
Variety of dynamic objects: cars, pedestrians and cyclists
Multiple seasons: dedicated themes for winter, fall, spring and summer
Lighting conditions and weather: dynamic lights and shadows, several day-time modes, rain mode and night mode
Sensor simulation: 8 RGB cameras forming a binocular 360º camera, 8 depth sensors