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 / organization | enci2 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 11.1K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 August 2026 |
| Last updated at source | 28 September 2026 |
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