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Canadian Adverse Driving Conditions Dataset
Open-source dataset for autonomous driving in wintry weather
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
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
