CLARU
sjauhri2025MIT

2HANDS

2HANDS is the 2-Handed Affordance + Narration DataSet, consisting of unimanual and bimanual object affordance segmentation masks and task narrations as affordance class-labels derived from egocentric video.

Downloads319

Why This Matters for Physical AI

This dataset enables learning of precise bimanual affordances from human videos, which is crucial for training embodied AI systems to understand and execute complex multi-handed manipulation tasks.

Technical Profile

Modalities
rgblanguage
Environment
kitchen
Task Types
affordance_segmentation
Annotation Types
language_instructionssegmentation
License
MIT
Part of the 2HANDS family

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