Datasets › Drive&Act

Drive&Act

Introduced by Manuel Martin et al. in Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles archive 2025-07-28

The Drive&Act dataset is a state of the art multi modal benchmark for driver behavior recognition. The dataset includes 3D skeletons in addition to frame-wise hierarchical labels of 9.6 Million frames captured by 6 different views and 3 modalities (RGB, IR and depth).

It offers following key features:

  • 12h of video data in 29 long sequences
  • Calibrated multi view camera system with 5 views
  • Multi modal videos: NIR, Depth and Color data
  • Markerless motion capture: 3D Body Pose and Head Pose
  • Model of the static interior of the car
  • 83 manually annotated hierarchical activity labels:
    • Level 1: Long running tasks (12)
    • Level 2: Semantic actions (34)
    • Level 3: Object Interaction tripplets [action|object|location] (6|17|14)

Source: Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Skeleton Based Action Recognition Drive&Act dyalyt mean per-class accuracy 43.59 Do You Act Like You Talk? Exploring Pose-based Driver... pablopardod/dyalyt 2 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 26. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Drive&Act

1 variant name, as the archive lists them.

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