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Multi-View 3D Point Tracking Datasets

Training and evaluation datasets for multi-view 3D point tracking in dynamic scenes, comprising synthetic Kubric sequences and real-world benchmarks from Panoptic Studio and DexYCB.

Downloads149
Episodes5K synthetic sequences, 20 real-world sequences (10 Panoptic Studio, 10 DexYCB)
Likes1

Why This Matters for Physical AI

This dataset enables training of feed-forward multi-view 3D trackers that can track arbitrary points in dynamic scenes with practical camera configurations, directly applicable to robotic perception and manipulation tasks requiring robust visual tracking under occlusion.

Technical Profile

Modalities
rgbdepthpoint_cloud
Environment
simulationlab
Task Types
3d_trackingkeypoint_detection
Episodes
5K synthetic sequences, 20 real-world sequences (10 Panoptic Studio, 10 DexYCB)
Data Format
tar.gz
Annotation Types
3d_point_trackscamera_posesdepth_maps
License
other
Part of the Multi-View 3D Point Tracking Datasets family

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