BDD-X (Berkeley Deep Drive-X (eXplanation))

Introduced by Jinkyu Kim et al. in Textual Explanations for Self-Driving Vehicles archive 2025-07-28

Berkeley Deep Drive-X (eXplanation) is a dataset is composed of over 77 hours of driving within 6,970 videos. The videos are taken in diverse driving conditions, e.g. day/night, highway/city/countryside, summer/winter etc. On average 40 seconds long, each video contains around 3-4 actions, e.g. speeding up, slowing down, turning right etc., all of which are annotated with a description and an explanation. Our dataset contains over 26K activities in over 8.4M frames.

Image source: https://github.com/JinkyuKimUCB/BDD-X-dataset

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 47 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Autonomous Driving Explainable artificial intelligence Self-Driving Cars Behavioural cloning

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

English

Variants archive 2025-07-28

BDD-X

1 variant name, as the archive lists them.

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