datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
indoor-safety-hazard-detection-and-work-zone-monitoring
Indoor Safety Hazard Detection & Work-Zone Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-safety-hazard-detection-and-work-zone-monitoring.bedroom-change-detection-state-monitoring
Bedroom Change Detection & State Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync… See the full description on the dataset page: https://huggingface.co/datasets/physicl/bedroom-change-detection-state-monitoring.indoor-anomaly-detection-path-obstruction-monitoring
Indoor Anomaly Detection & Path Obstruction Monitoring
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled… See the full description on the dataset page: https://huggingface.co/datasets/physicl/indoor-anomaly-detection-path-obstruction-monitoring.synthetic-driver-monitoring-detection
Synthetic DMS – Driver Monitoring System Dataset by AnywayLabs.ai
Need a custom synthetic dataset for your own road safety detection use case?
This dataset is an open-source sample of our synthetic data generation work at AnywayLabs.
If you're working on:
industrial defect detection
visual inspection
supervised anomaly detection
hard-to-collect defect classes
synthetic data for computer vision training
You can request a custom synthetic dataset here, or email:… See the full description on the dataset page: https://huggingface.co/datasets/1841819173liu/synthetic-driver-monitoring-detection.synthetic-driver-monitoring-detection
Synthetic DMS – Driver Monitoring System Dataset by AnywayLabs.ai
Need a custom synthetic dataset for your own road safety detection use case?
This dataset is an open-source sample of our synthetic data generation work at AnywayLabs.
If you're working on:
industrial defect detection
visual inspection
supervised anomaly detection
hard-to-collect defect classes
synthetic data for computer vision training
You can request a custom synthetic dataset here, or email:… See the full description on the dataset page: https://huggingface.co/datasets/anywaylabs/synthetic-driver-monitoring-detection.bedroom-change-detection-state-monitoringuntrusted-monitoring-2026-paper
Untrusted Monitoring — eval logs for "When can we trust untrusted monitoring?"
Raw Inspect AI eval logs behind the paper
When can we trust untrusted monitoring? A safety case sketch across
collusion strategies (arXiv:2602.20628).
Code and statistical pipeline:
NelsonG-C/lasr-labs-2025-control-project.
Two model classes, each an Inspect-log tree of per-sample monitor scores
(~300 samples per log):
class
U (policy + untrusted monitors)
T (trusted monitor)
H (honeypots)… See the full description on the dataset page: https://huggingface.co/datasets/jbostock/untrusted-monitoring-2026-paper.bedroom-change-detection-state-monitoring-training-1075921b-d939a6b5
Bedroom Table Lamp Detection — RT-DETR Training
Training dataset to teach a robot to detect and locate table lamps of various kinds in bedrooms. Contains 30 renders (640x640) staged across eight bedroom environments, each framing a table lamp, with albedo and metric depth passes, per-frame annotations (bounding boxes, labels), and morning lighting. Built for object detection with an RT-DETR model.
This dataset mirrors public data-pack render outputs from Physicl.
Each row… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/bedroom-change-detection-state-monitoring-training-1075921b-d939a6b5.raw-advance-driver-monitoringVisual-Traffic-Monitoringexams-ocr-vllm-monitoring-testnetwork-monitoring-vmllm-monitoring-artifacts