Hesai and Scale AI open-source LiDAR data set for autonomous car trainingHesai and Scale AI open-source LiDAR data set for autonomous car training
Scale claims this is the first time such data has been released with zero restrictions
June 2, 2020

Scale claims this is the first time such data has been released with zero restrictions
A self-driving vehicle hardware manufacturer and a computer vision company have teamed up to release a free a data set for training ML models used in autonomous cars.
Shanghai-based Hesai manufactures LiDAR systems, the technology used in most self-driving vehicles. Meanwhile Scale AI develops object recognition software used by Zoox, Lyft, Toyota, and OpenAI, among others. Ah, the open road PandaSet is free and licensed for academic and commercial use; the data set is based on information collected before the Covid-19 lockdown. The companies used a Chrysler Pacifica minivan featuring the forward-facing PandarGT, and a spinning LiDAR system, Pandar64, as well as wide-angle cameras and one long-focus camera. The data was annotated with Scale's technology, and includes more than 48,000 camera images, 16,000 LiDAR sweeps, 100 scenes of 8s each, 28 annotation classes, and 37 semantic segmentation labels. © Hesai/Scale AI
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