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Boreas Autonomous Driving Dataset Dataset for Machine Learning

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pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/boreas-dataset")

fs.listdir("s3://boreas")
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Description

This autonomous driving dataset includes data from a 128-beam Velodyne Alpha-Prime lidar, a 5MP Blackfly camera, a 360-degree Navtech radar, and post-processed Applanix POS LV GNSS data. This dataset was collect in various weather conditions (sun, rain, snow) over the course of a year. The intended purpose of this dataset is to enable benchmarking of long-term all-weather odometry and metric localization across various sensor types. In the future, we hope to also support an object detection benchmark.

Additional information

Update frequency

New driving sequences will be added as they are collected.

License

Related datasets

BodyM Dataset

Cloud to Street – Microsoft Flood and Clouds Dataset

A2D2: Audi Autonomous Driving Dataset

Galaxy Evolution Explorer Satellite (GALEX)

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