BDD100K is an autonomous driving AI dataset product developed by Berkeley Artificial Intelligence Research Lab (USA) for the transport & mobility industry.
The Berkeley Artificial Intelligence Research Lab (BAIR) released the Berkeley Deep Drive dataset or BDD100K on 5 June 2018. The dataset contain driving segments along roads in Berkeley, San Francisco and New York, with close to 120 million frames of data.
Datasets released in 2019 by Aptiv, Argo, Lyft and Waymo have started to incorporate multi-modal data from other sensors such as LiDAR, radar and stereo cameras. While BDD100K lacks the multi-modal data of its newer counterparts, it is the largest dataset based on monocular videos with 120 million image frames across multiple cities, weather conditions, times of day and scene types.
| Product | BDD100K |
| Company | Berkeley Artificial Intelligence Research Lab (USA) |
| Function | autonomous driving AI dataset |
| Release Date | 2018-06-05 |
| #Frames/Images | 120000000 |
| Locations | USA - New York, Berkeley, San Francisco, Bay Area |
| Industry | Transport & Mobility |
| Tech Domain | Robotics and AI |
| URL | https://bdd-data.berkeley.edu/.. |
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