| ---
|
| 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`, and `overtake`
|
| - 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.
|
|
|
