CLARU
bhatvineetMIT

BOPASK-Train

A large-scale visual-question-answering dataset for robotic spatial understanding built on BOP-Challenge datasets (HANDAL, HOPE, LineMOD, YCB-V), containing 32.68M training QA pairs across 172K unique RGB images covering 8 question types.

Downloads13

Technical Profile

Modalities
rgbdepthsegmentation
Environment
lab
Task Types
graspingpose_estimationspatial_reasoningtrajectory_planningdepth_estimationobject_rearrangement
Data Format
JSONL
License
MIT
Part of the BOPASK-Train family

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