CLARU
zeredatacc-by-4.0

ZereData Bin Picking Dataset v1.1

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

Downloads63
Episodes10000 scenes (8000 train, 2000 val)

Why This Matters for Physical AI

Provides large-scale synthetic training data with perfect ground truth for 6D pose estimation and bin-picking perception models, enabling sim-to-real transfer research for warehouse robotics applications.

Technical Profile

Modalities
rgbdepthinstance_segmentation6d_posebounding_boxesvisibility_ratio
Environment
warehousesimulation
Task Types
object_detectionbin_pickingpose_estimationinstance_segmentationdepth_estimation
Episodes
10000 scenes (8000 train, 2000 val)
Data Format
BOP, COCO, YOLO
Annotation Types
6d_posebounding_boxesinstance_segmentationvisibility_labelscamera_intrinsicscamera_extrinsics
License
cc-by-4.0
Part of the ZereData family

Access

View on HuggingFace

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