遇见数据集

Wheat 3D PartNet: Annotated Dataset for Part segmentation of wheat

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Figshare2025-10-16 更新2026-04-28 收录
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Wheat3D PartNet is a large-scale 3D point cloud dataset for wheat phenotyping, containing 1,300+ annotated samples of three cultivars (Paragon, Gladius, Apogee). Each point cloud is manually segmented into ear and non-ear regions, enabling tasks such as 3D plant part segmentation, spike counting, and trait measurement. The dataset provides benchmark train/test splits and is openly available for research in deep learning, phenotyping, and precision agriculture.Corresponding author contact: 25039814@edgehill.ac.uk

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2025-10-16
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