Researchers have released the largest self-driving-car data set yet
The BDD100K data set, made up of 100,000 videos recorded onboard autonomous cars, is now available for download from the University of California, Berkeley.
Some background: Similar data has previously been released—Baidu, for example, dropped a bunch of self-driving-car data in March—but Berkley’s set is 800 times larger.
The data: All of the approximately 40-second-long clips are taken from roads in the US. They contain an array of labeled objects, including 1,021,857 cars, 343,777 signs, 129,262 people, and 179 trains. Lane markings and driveable areas are color-coded in the video, and approximate driving paths are indicated.
Why it matters: Releasing more data will help engineers improve autonomous driving more quickly. Opening this information up could be a positive trend for the industry, signaling that it could be valuing safety above the ongoing competition to be the first to market.
Keep Reading
Most Popular
Large language models can do jaw-dropping things. But nobody knows exactly why.
And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.
The problem with plug-in hybrids? Their drivers.
Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.
How scientists traced a mysterious covid case back to six toilets
When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.
Google DeepMind’s new generative model makes Super Mario–like games from scratch
Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.