Physical AI Smart Spaces Dataset Overview Comprehensive, annotated dataset for multi camera tracking and 2D/3D object detection. This dataset is synthetically generated with Omniverse and Cosmos Transfer. This dataset consists of over 280 hours of video from across nearly 1,800 cameras from indoor scenes in warehouses, hospitals, retail, and more. The dataset is time synchronized for tracking humans, forklifts, pallet trucks and Autonomous Mobile Robots (AMRs) across multiple cameras. Dataset Description Dataset Owner(s) NVIDIA Dataset Creation Date We started to create this dataset in December, 2023. First version was completed and released as part of 8th AI City Challenge in conjunction with CVPR 2024. Dataset Characterization Data Collection Method: Synthetic Labeling Method: Automatic with IsaacSim Video Format Video Standard: MP4 (H.264) Video Resolution: 1080p Video Frame rate: 30 FPS Ground Truth Format (MOTChallenge) for MTMC Tracking 2024 Annotations are provided in the following text format per line: : Numeric identifier for the camera. : Consistent numeric identifier for each object across cameras. : Frame index starting from 0. : Axis aligned bounding box coordinates in…
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