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If you use the RaidaR dataset in your work, please cite our publication:

Jiongchao Jin, Arezou Fatemi, Wallace Lira, Fenggen Yu, Biao Leng, Rui Ma, Ali Mahdavi-Amiri, and Hao Zhang. "RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes". arXiv e-prints, abs/2104.04606, April 2021. [bibtex]



Dataset Organization

Our dataset is divided into 2 folders containing the dataset splits: train and test. Each split contains 6 folders, where sseg denotes semantic segmentation and iseg denotes instance segmentation. The directory organization is shown below:

RaidaR

    |---train/test

         |---sunny_sseg

         |---sunny_iseg

         |---sunny_images

         |---rainy_sseg

         |---rainy_iseg

         |---rainy_images


Class Definition


Name

ID
Has Instance
Segmentation

Color
Unlabeled 0 False ( 0, 0, 0)
Static 4 False ( 0, 0, 0)
Dynamic 5 False (111, 74, 0)
Ground 6 False ( 81, 0, 81)
Road 7 False (128, 64,128)
Sidewalk 8 False (244, 35,232)
Parking 9 False (250,170,160)
Rail track 10 False (230,150,140)
Building 11 False ( 70, 70, 70)
Wall 12 False (102,102,156)
Fence 13 False (190,153,153)
Guard rail 14 False (180,165,180)
Bridge 15 False (150,100,100)
Tunnel 16 False (150,120, 90)
Pole 17 False (153,153,153)
Pole group 18 False (153,153,153)
Traffic light 19 False (250,170, 30)
Traffic sign 20 False (220,220, 0)
Vegetation 21 False (107,142, 35)
Terrain 22 False (152,251,152)
Sky 23 False ( 70,130,180)
Person 24 True (220, 20, 60)
Rider 25 True (255, 0, 0)
Car 26 True ( 0, 0,142)
Truck 27 True ( 0, 0, 70)
Bus 28 True ( 0, 60,100)
Caravan 29 True ( 0, 0, 90)
Trailer 30 True ( 0, 0,110)
Train 31 True ( 0, 80,100)
Motorcycle 32 True ( 0, 0,230)
Bicycle 33 True (119, 11, 32)

Data Resolution

All images and masks are in 1080p resolution. The masks and raw images share the same name, differing only on the folder they are located on.

Labeling Policy

Our dataset follows the same labeling policy ast the Cityscapes Dataset. Labeled foreground objects must never have holes,i.e. if there is some background visible ‘through’ some foreground object, it is considered to be part of the foreground.

Data Loading

The data loading is similar to the Cityscapes Dataset.