Roboflow: Popular autonomous vehicle data set contains critical flaws


by VentureBeat

VentureBeat— A report alleges that a data set popularly used to train self-driving vehicle AI models contains errors and critical flaws.

VentureBeat—New data set helps train cars to drive autonomously in winter weather. Researchers at Scale AI, the University of Waterloo, and the University of Toronto have open-sourced a driving data set captured in snowfall.

TechRadar—How much data do I need? A guide to data usage on the most popular phone apps. The usage of Netflix, Spotify, YouTube and more explained. Ask yourself “how much data do I need?” with our helpful guide.

WardsAuto—The Next Decade of Autonomous Vehicles: Who, What, When, Where and Why?. The next decade of autonomous-vehicle development will prove as unpredictable as the last. The automotive industry will have to face some fundamental questions.