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Canadian Adverse Driving Conditions Dataset

Open-source dataset for autonomous driving in wintry weather

Canadian Adverse Driving Conditions Dataset

The CADC dataset aims to promote research to improve self-driving in adverse weather conditions. This is the first public dataset to focus on real world driving data in snowy weather conditions.It features:56,000 camera images7,000 LiDAR sweeps75 scenes of 50-100 frames each10 annotation classesAdverse weather driving conditions, including snow

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University of Waterloo, Canada
View author website
Task
Autonomous Driving
Annotation Types
Bounding Boxes
10
Items
10
Classes
56000
Labels
Models using this dataset
Last updated on 
January 31, 2022
Licensed under 
MIT