Fuji-SfM dataset [Research data]

Gené Mola, Jordi; Sanz Cortiella, Ricardo; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Vilaplana Besler, Verónica; Gregorio López, Eduard

doi:https://doi.org/10.5281/zenodo.3712808

Accediu als documents

Issue date

2020

Author

Gené Mola, Jordi

Sanz Cortiella, Ricardo

Rosell Polo, Joan Ramon

Morros Rubió, Josep Ramon

Ruiz Hidalgo, Javier

Vilaplana Besler, Verónica

Gregorio López, Eduard

Suggested citation

Gené Mola, Jordi; Sanz Cortiella, Ricardo; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Vilaplana Besler, Verónica; Gregorio López, Eduard; . (2020) . Fuji-SfM dataset [Research data]. Universitat de Lleida. https://doi.org/10.5281/zenodo.3712808.

Abstract

The Fuji-SfM dataset includes: (1) a set of 288 colour images and the corresponding annotations (apples segmentation masks) for training instance segmentation neural networks such as Mask-RCNN; (2) a set of 582 images defining a motion sequence of the scene which was used to generate the 3D model of 11 Fuji apple trees containing 1455 apples by using SfM; (3) the 3D point cloud of the scanned scene with the corresponding apple positions ground truth in global coordinates. This data allows the development, training, and test of fruit detection algorithms either based on RGB images, on coloured point clouds or on the combination of both types of data.

Note

Dades primàries associades a un article publicat a la revista Computers and Electronics in Agriculture disponible a l'adreça https://doi.org/10.1016/j.compag.2019.105165 i a la revista Data in Brief disponible a l'adreça https://doi.org/10.1016/j.dib.2020.105591

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Except where otherwise noted, this item's license is described as cc-by-nc-sa (c) Jordi Gené et al., 2020