CLARU
zeredatacc-by-4.0

ZereData Bin Picking Dataset v1.0

Synthetic training data for robotic bin picking with RGB, depth, instance masks, 6D pose, and 2D bounding boxes generated via physically-based ray tracing in Blender Cycles. Contains 10,000 photorealistic scenes of cluttered bins at warehouse scale with perfect ground truth annotations.

Downloads12
Episodes10000

Why This Matters for Physical AI

This synthetic dataset enables training of perception systems for bin picking and warehouse manipulation tasks with perfect ground truth annotations, facilitating sim-to-real transfer for industrial robotics applications.

Technical Profile

Modalities
rgbdepthinstance_segmentation6d_posebounding_boxesvisibility
Environment
warehousesimulation
Task Types
bin_pickingobject_detectionpose_estimationgrasp_prediction
Episodes
10000
Data Format
BOP
Annotation Types
6d_poseinstance_segmentationbounding_boxesvisibility_ratioscamera_intrinsics_extrinsics
License
cc-by-4.0
Part of the ZereData family

Access

View on HuggingFace

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