research data . Dataset . 2021

PFuji-Size dataset: photogrammetry-derived 3D point clouds of Fuji apples trees with annotations to evaluate fruit detection and size estimation methodologies

Gené Mola, Jordi; Sanz Cortiella, Ricardo; Rosell Polo, Joan Ramon; Escolà i Agustí, Alexandre; Gregorio López, Eduard;
Open Access
  • Published: 01 Jan 2021
  • Publisher: Repositori de Dades de Recerca
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.
Persistent Identifiers
ACM Computing Classification System: ComputingMilieux_MISCELLANEOUS
free text keywords: Agricultural Sciences, Computer and Information Science, Engineering, Fruit detection, Fruit size, 3D object detection, Apple, Size, Fruit trees, Structure-from-motion, Multi-view stereo, Agricultural robotics, Precision Agriculture, Agricultural innovation, Agricultural enginnering
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