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nvidia/PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes

Video Classification · nvidia· 10.8K
other 477 MB

PhysicalAI SDG-Warehouse 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… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes.

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Dataset details

Task
Video Classification
Language
en
License
other
Size
477 MB
Creator
nvidia
Downloads
10.8K
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.