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** IMPORTANT CHANGE: We have updated the SYNTHIA dataset. RAR parts are no longer used. Instead we are back to the entire .rar files for each sequence. If you are not able to download any file, please consider Jdownloader as a download manager. Additionally, some bugs have been corrected in the sequences, so we recommend to download them again. **

** NOTE: Sequences 3 and 7 are coming soon **

randcvpr2016

SYNTHIA-RAND-CVPR16

It is the set containing the original 13,407 images used to perform training and domain adaptation of the models presented in our CVPR’16 paper. These images are generated as random perturbation of the world and therefore do not have temporal consistency (this is not a video stream). These images have annotations for 11 basic classes and do not have annotations for instances. The classes are: void, sky, building, road, sidewalk, fence, vegetation, pole, car, sign, pedestrian, cyclist.

randcityscapes

SYNTHIA-RAND-CITYSCAPES

It is a new set containing 9,000 random images with labels compatible with the CITYSCAPES test set. In addition to the CITYSCAPES test classes, we also provide other interesting ones such as lanemarking. The list of classes is: void, sky, building, road, sidewalk, fence, vegetation, pole, car, traffic sign, pedestrian, bicycle, motorcycle, parking-slot, road-work, traffic light, terrain, rider, truck, bus, train, wall, lanemarking. These images are generated as random perturbation of the virtual world, therefore no temporal consistency is provided (this is not a video stream). This set contains groundtruth for instances!

SYNTHIA VIDEO SEQUENCES

Video subsets acquired at 5 FPS. There are 7 sequences featuring different scenarios and traffic conditions. Each of them is divided into different sub-sequences for commodity. Each sub-sequence consists of the same traffic situation but under a different weather/illumination/season condition. The current sub-sequences are: Spring, Summer, Fall, Winter, Rain, Soft-rain, Sunset, Fog, Night and Dawn. Each of these sub-sequences contains around 8,000 (1,000 x 8) images with associated ground truth. For each sub-sequence we provide useful information such as: 8 views, ground truth for semantic segmentation, instance segmentation, global camera poses, depth, and calibration parameters.

i01

SEQS-01 (Highway)

 Sequence featuring a highway scenario.

Available sub-sequences: Fall, Winter, Summer, Dawn

 

SEQS02

SEQS-02 (NewYork-like city)

 Sequence featuring a New York-like city.

Available sub-sequences: Fall, Winter, Summer, Night, Dawn, Rain

 

i03

SEQS-03 (Roundabout)

 Sequence featuring a roundabout scenario.                                                 

Available sub-sequences: –

 

i04

SEQS-04 (Old European Town)

 Sequence featuring an old European town.                                                

Available sub-sequences: Fall, Winter, Summer, Sunset, Rain

 

i05

SEQS-05 (NewYork-like city)

 Sequence featuring a New York-like city.                                                

Available sub-sequences: Fall, Winter, Summer, Rain, Sunset

 

i06

SEQS-06 (Highway)

 Sequence featuring a highway scenario.                                                

Available sub-sequences: Fall, Summer, Night, Sunset

 

i07

SEQS-07 (Mountain Path)

 Sequence featuring an old European town.                                                

Available sub-sequences: Fall, Summer, Rain, Sunset

 


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SYNTHIA-RAND-CVPR2016
SYNTHIA-RAND-CITYSCAPES
SYNTHIA-SEQS-01-DAWN
SYNTHIA-SEQS-01-FALL
SYNTHIA-SEQS-01-FOG
SYNTHIA-SEQS-01-NIGHT
SYNTHIA-SEQS-01-SPRING
SYNTHIA-SEQS-01-SUMMER
SYNTHIA-SEQS-01-SUNSET
SYNTHIA-SEQS-01-WINTER
SYNTHIA-SEQS-01-WINTERNIGHT
SYNTHIA-SEQS-02-DAWN
SYNTHIA-SEQS-02-FALL
SYNTHIA-SEQS-02-FOG
SYNTHIA-SEQS-02-NIGHT
SYNTHIA-SEQS-02-RAINNIGHT
SYNTHIA-SEQS-02-SOFTRAIN
SYNTHIA-SEQS-02-SPRING
SYNTHIA-SEQS-02-SUMMER
SYNTHIA-SEQS-02-SUNSET
SYNTHIA-SEQS-02-WINTER
SYNTHIA-SEQS-04-DAWN
SYNTHIA-SEQS-04-FALL
SYNTHIA-SEQS-04-FOG
SYNTHIA-SEQS-04-NIGHT
SYNTHIA-SEQS-04-RAINNIGHT
SYNTHIA-SEQS-04-SOFTRAIN
SYNTHIA-SEQS-04-SPRING
SYNTHIA-SEQS-04-SUMMER
SYNTHIA-SEQS-04-SUNSET
SYNTHIA-SEQS-04-WINTER
SYNTHIA-SEQS-04-WINTERNIGHT
SYNTHIA-SEQS-05-DAWN
SYNTHIA-SEQS-05-FALL
SYNTHIA-SEQS-05-FOG
SYNTHIA-SEQS-05-NIGHT
SYNTHIA-SEQS-05-RAIN
SYNTHIA-SEQS-05-RAINNIGHT
SYNTHIA-SEQS-05-SOFTRAIN
SYNTHIA-SEQS-05-SPRING
SYNTHIA-SEQS-05-SUMMER
SYNTHIA-SEQS-05-SUNSET
SYNTHIA-SEQS-05-WINTER
SYNTHIA-SEQS-05-WINTERNIGHT
SYNTHIA-SEQS-06-DAWN
SYNTHIA-SEQS-06-FOG
SYNTHIA-SEQS-06-NIGHT
SYNTHIA-SEQS-06-NIGHT
SYNTHIA-SEQS-06-SPRING
SYNTHIA-SEQS-06-SUMMER
SYNTHIA-SEQS-06-SUNSET
SYNTHIA-SEQS-06-WINTER
SYNTHIA-SEQS-06-WINTERNIGHT

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