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Dataset · Hugging Face

enci2/PEAR

PEAR Pose and dEformation of Agricultural pRoduce Overview PEAR is an RGB-D benchmark designed to study the instance-specific geometric deformation of agricultural produce, while its object-pose annotations also allow it to be used independently for conventional 6D pose estimation and evaluation. PEAR accompanies Mind the Shape Gap: A Benchmark and Baseline for Deformation-Aware 6D Pose Estimation of Agricultural Produce (IROS 2026). The paper also introduces SEED… See the full description on the dataset page: https://huggingface.co/datasets/enci2/PEAR.

Author / organizationenci2
License (as declared)cc-by-4.0
Downloads11.1K (as reported by Hugging Face)
Likes0
Created11 August 2026
Last updated at source28 September 2026
6d-pose-estimationrgb-dobject-deformationagricultural-robotics3d-geometry
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