2 datasets found
  1. P

    BDD-X Dataset

    • paperswithcode.com
    Updated Nov 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jinkyu Kim; Anna Rohrbach; Trevor Darrell; John Canny; Zeynep Akata (2024). BDD-X Dataset [Dataset]. https://paperswithcode.com/dataset/bdd-x
    Explore at:
    Dataset updated
    Nov 21, 2024
    Authors
    Jinkyu Kim; Anna Rohrbach; Trevor Darrell; John Canny; Zeynep Akata
    Description

    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.

  2. O

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

    • opendatalab.com
    zip
    Updated Mar 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    University of Amsterdam (2023). BDD-X (Berkeley Deep Drive-X (eXplanation)) [Dataset]. https://opendatalab.com/OpenDataLab/BDD-X
    Explore at:
    zip(3448166 bytes)Available download formats
    Dataset updated
    Mar 10, 2023
    Dataset provided by
    Saarland University
    University of California, Berkeley
    University of Amsterdam
    License

    https://github.com/JinkyuKimUCB/BDD-X-dataset/blob/master/LICENSEhttps://github.com/JinkyuKimUCB/BDD-X-dataset/blob/master/LICENSE

    Area covered
    伯克利
    Description

    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.

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Jinkyu Kim; Anna Rohrbach; Trevor Darrell; John Canny; Zeynep Akata (2024). BDD-X Dataset [Dataset]. https://paperswithcode.com/dataset/bdd-x

BDD-X Dataset

Berkeley Deep Drive-X (eXplanation)

Explore at:
Dataset updated
Nov 21, 2024
Authors
Jinkyu Kim; Anna Rohrbach; Trevor Darrell; John Canny; Zeynep Akata
Description

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.

Search
Clear search
Close search
Google apps
Main menu