Researchers have released the largest self-driving car data set yet
The BDD100K data set, made up of 100,000 videos recorded on board cars, is 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: Each 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, and 179 trains. Lane markings and driveable areas are color-coded in the video.
Why it matters: Releasing more data will help engineers improve self-driving cars more quickly. Opening this information up could be a sign the industry is starting to value safety above the ongoing competition to be the first to market.
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: Each 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, and 179 trains. Lane markings and driveable areas are color-coded in the video.
Why it matters: Releasing more data will help engineers improve self-driving cars more quickly. Opening this information up could be a sign the industry is starting to value safety above the ongoing competition to be the first to market.
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