The PFuji-Size dataset includes a total of 615 Fuji apples scanned in-field conditions 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. The reader is referred to visit articles [1] and [2] for a description of methodology and further information about this dataset. This database is available only for research and educational purpose and not for any commercial use. If you use the database in any publications or reports, please consider citing the following papers: [1] Gené-Mola J, Sanz-Cortiella R, Rosell-Polo JR, Escolà A, Gregorio E. 2021. In-field apple size estimation using photogrammetry-derived 3D point clouds: comparison of 4 different methods considering fruit occlusions. (Submitted) [2] Gené-Mola J, Sanz-Cortiella R, Rosell-Polo JR, Escolà A, Gregorio E. 2021. PFuji-Size dataset: a collection of photogrammetry-derived 3D point clouds with ground truth annotations for Fuji apple detection and size estimation in field conditions. (Submitted)