While the most sophisticated driverless cars on public roads can handle and like champs, certain types of precipitation remain a challenge for them — like snow. That’s because snow covers cameras critical to those cars’ self-awareness and tricks sensors into perceiving obstacles that aren’t there, and because snow obscures road signs and other structures that normally serve as navigational landmarks.

In an effort to spur on the development of cars capable of driving in wintry weather, startup Scale AI this week open-sourced , a data set containing over 56,000 images in conditions including snow created with the University of Waterloo and the University of Toronto. While several corpora with snowy sensor samples have been released to date, including Linköping University’s Automotive Multi-Sensor Dataset (AMUSE) and

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