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.

Data and Resources

Additional Info

Field Value
Source Computer Vision Center
Maintainer SYNTHIA team
Associated Tasks Semantic segmentation
Number of Instances +200,000 HD images
Package Description - 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
Dataset has missing values False