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EgoPAT3Dv2

Egocentric dataset with 11 scenes containing RGB, depth, and point cloud data collected from first-person perspectives. Includes transformation matrices and ground truth annotations organized in HDF5 format.

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Why This Matters for Physical AI

This egocentric perception dataset with multi-modal 3D sensor data (RGB, depth, point clouds) is valuable for developing vision-based understanding and manipulation systems that learn from first-person viewpoints.

Technical Profile

Modalities
rgbdepthpoint_cloud
Environment
lab
Data Format
HDF5
Annotation Types
transformation_matrices
Part of the EgoPAT3Dv2 family

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