EdamamePod3D: A 3D point cloud dataset of edamame pods for non-destructive scale and quality measurement

EdamamePod3D is a three-dimensional (3D) point cloud dataset of harvested edamame (immature soybean) pods designed to support research in pod-level shape analysis, seed segmentation, and quality-related trait extraction. The dataset comprises 80 pods from a single cultivar (Yuagari-musume), harvested on three dates during the 2025 growing season. For each pod, a 3D mesh model was acquired using a smartphone-based scanning system (iPhone 16 Pro Max with Scaniverse) and converted into a metrically scaled, colored point cloud using CloudCompare. The dataset provides textured 3D mesh models, dense colored point clouds, and tabular reference measurements, including seed moisture content and maximum pod thickness obtained with digital calipers, linked to each point cloud by sample ID. These reference measurements enable validation of dimensional features extracted from the 3D models and support analyses of the relationship between pod shape and maturity-related quality traits at the individual-pod level.