Datasets:
license: cc-by-4.0
task_categories:
- other
tags:
- cyclist
- vulnerable-road-users
- pose-estimation
- behavior-prediction
- traffic-safety
pretty_name: Cyclist Behavior 2D Keypoints V5
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*.parquet
- split: validation
path: data/validation-*.parquet
- split: test
path: data/test-*.parquet
Cyclist Behavior 2D Keypoints V5
Version 2.0.0 is a complete replacement of the earlier intersection release. It contains de-identified cyclist skeleton scene clips for bus-stop/road behavior prediction.
Summary
- 32 participants, 559 scene clips, 99,734 frames
- 33 two-dimensional pose landmarks (66 coordinates)
- Stage1 labels: head look, upper-limb rotation, and pedaling intervals
- Stage2 labels:
straight,yield, andovertake - canonical Fold 1 participant-disjoint train/validation/test split
- all five participant folds in
participant_folds.parquet
| Split | Sequences | Frames |
|---|---|---|
| Train | 369 | 65,235 |
| Validation | 103 | 18,491 |
| Test | 87 | 16,008 |
annotations.parquet contains sanitized Stage1 gesture intervals and exclusion flags.
sequences.csv contains clip-level maneuver labels, route anchors, FPS, and Stage2 eligibility.
Privacy
Raw video, original filenames, calendar dates, session IDs, direct participant numbers, and source paths are excluded. Release-scoped HMAC identifiers preserve grouping without publishing the source mapping. Pose trajectories can retain behavioral signatures; users must not attempt re-identification or linkage with external identity data.
Intended use and limitations
Intended for cyclist behavior, temporal pose, and participant-independent evaluation research. The simulator domain and variable source frame rate (12.690–19.423 FPS) limit direct real-world generalization. This dataset must not be used for biometric identification, surveillance, or safety-critical control without independent validation.
License
CC BY 4.0. Cite the dataset and indicate modifications.