qualiadev
QSim SOLHETTA Shelf Restocking
A synthetic dataset of 24 RGB/mask image pairs rendered in Isaac Sim for shelf restocking inspection, featuring OMAR shelf levels with incomplete lanes and missing SOLHETTA cartons.
Downloads20
Episodes24
Why This Matters for Physical AI
Provides a benchmark dataset for training perception systems to detect missing items and empty spaces in warehouse shelf restocking tasks, enabling automated inventory management and robotic manipulation planning.
Technical Profile
- Modalities
- rgbsegmentation
- Environment
- simulation
- Task Types
- shelf_restockingobject_detection
- Episodes
- 24
- Annotation Types
- segmentationclass_labels
Access
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