Security News > 2020 > February > Self-driving car dataset missing labels for pedestrians, cyclists
A popular self-driving car dataset for training machine-learning systems - one that's used by thousands of students to build an open-source self-driving car - contains critical errors and omissions, including missing labels for hundreds of images of bicyclists and pedestrians.
Self-driving car engineers, please use the fixed dataset.
Thanks to the permissive licensing terms of the open-source data, Roboflow has fixed and re-released the Udacity self-driving car dataset in a number of formats.
I've reached out to Vincent Vanhoucke, principal scientist and Director of Robotics at Google, who teaches the Udacity course on becoming a self-driving car engineer, to get his take on the bad data and to find out if he plans to update to the fixed dataset.
Our car has not operated on public streets for several years, so our car poses no risk to the public.