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
This new data poisoning tool lets artists fight back against generative AI
The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.
Everything you need to know about artificial wombs
Artificial wombs are nearing human trials. But the goal is to save the littlest preemies, not replace the uterus.
Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist
An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.
Data analytics reveal real business value
Sophisticated analytics tools mine insights from data, optimizing operational processes across the enterprise.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.