PFuji-Size dataset: photogrammetry-derived 3D point clouds of Fuji apples trees with annotations to evaluate fruit detection and size estimation methodologies
The PFuji-Size dataset [2] includes the 3D point clouds of 6 Fuji apple trees containing a total of 615 apples and an additional 25 apples scanned in laboratory conditions. Structure-from-motion and multi-view stereo techniques were used to generate the 3D point clouds of the captured scene. Apple l...
| Autores: | , , , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Fundació Sant Joan de Déu |
| Repositorio: | Repositori Obert UdL |
| OAI Identifier: | oai:dnet:.___________::018a675f0b6c3d60acaa7d0ad8a349f8 |
| Acceso en línea: | https://doi.org/10.34810/DATA141 |
| Access Level: | acceso abierto |
| Palabra clave: | Agricultural Sciences Computer and Information Science Engineering Fruit detection Fruit size 3D object detection Apples Size Fruit trees Structure-from-motion Multi-view stereo Agricultural robotics Precision Agriculture Agricultural innovation Agricultural engineering |
| Sumario: | The PFuji-Size dataset [2] includes the 3D point clouds of 6 Fuji apple trees containing a total of 615 apples and an additional 25 apples scanned in laboratory conditions. Structure-from-motion and multi-view stereo techniques were used to generate the 3D point clouds of the captured scene. Apple locations and ground truth diameter annotations are provided for assessing fruit detection and size estimation algorithms. |
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