Task
Video Classification
P
nvidia/PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes
Video Classification · nvidia· 18.8K
other
23 TB
task_categories:video-classificationtask_categories:video-text-to-texttask_categories:text-to-videolanguage:enlicense:other
PhysicalAI SDG-Warehouse is a synthetic, fully-annotated video dataset of staged industrial-safety events captured in a simulated warehouse environment. It contains approximately 123k video clips, totaling roughly 412 hours of footage at 1920x1080 resolution and 30 frames per second, organized across four scenarios: a forklift near-miss with a human worker, a warehouse fire with worker evacuation,
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mlforge datasets pull nvidia/PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes
Dataset details
Language
en
License
other
Size
23 TB
Creator
nvidia
Downloads
18.8K
Source
huggingface_datasets
Updated
2026-05-29
About nvidia/PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes
PhysicalAI SDG-Warehouse is a synthetic, fully-annotated video dataset of staged industrial-safety events captured in a simulated warehouse environment. It contains approximately 123k video clips, totaling roughly 412 hours of footage at 1920x1080 resolution and 30 frames per second, organized across four scenarios: a forklift near-miss with a human worker, a warehouse fire with worker evacuation, a forklift collision with a storage shelf, and a routine box-pickup action. Every multi-camera simulation run is filmed from 5 to 10 synchronized viewpoints, and the entire pipeline is reproducible end-to-end from a single random seed.