ClarusC64/autonomous-driving-driver-state-manifold-estimation-v0.1
What this dataset tests Whether a system can infer driver state from cabin signals and driving context. The output is a state manifold vector. Not a single label. Required outputs driver_state_label fatigue_score distraction_score agitation_score confidence_estimate state_transition_risk Scoring conventions all scores range 0 to 1 labels are baseline, fatigued, distracted, agitated, mixed transition risk flags likelihood of deterioration in the next window Use case Layer one… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-driver-state
| Author / organization | ClarusC64 |
|---|---|
| License (as declared) | mit |
| Downloads | 146 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 February 2026 |
| Last updated at source | 6 February 2026 |
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146 now (-9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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