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dc.contributor.authorGené Mola, Jordi
dc.contributor.authorVilaplana Besler, Verónica
dc.contributor.authorRosell Polo, Joan Ramon
dc.contributor.authorMorros Rubió, Josep Ramon
dc.contributor.authorRuiz Hidalgo, Javier
dc.contributor.authorGregorio López, Eduard
dc.description.abstractThis article contains data related to the research article entitle 'Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities' [1]. The development of reliable fruit detection and localization systems is essential for future sustainable agronomic management of high-value crops. RGB-D sensors have shown potential for fruit detection and localization since they provide 3D information with color data. However, the lack of substantial datasets is a barrier for exploiting the use of these sensors. This article presents the KFuji RGBDS database which is composed by 967 multi-modal images of Fuji apples on trees captured using Microsoft Kinect v2 (Microsoft, Redmond, WA, USA). Each image contains information from 3 different modalities: color (RGB), depth (D) and range corrected IR intensity (S). Ground truth fruit locations were manually annotated, labeling a total of 12,839 apples in all the dataset. The current dataset is publicly available at
dc.description.sponsorshipThis work was partly funded by the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya, the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (ERDF) under Grants 2017 SGR 646, AGL2013-48297-C2-2-R and MALEGRA, TEC2016-75976-R. The Spanish Ministry of Education is thanked for Mr. J. Gené’s pre-doctoral fellowships (FPU15/03355). We would also like to thank Nufri and Vicens Maquinària Agrícola S.A. for their support during data acquisition.
dc.publisherElsevier Inc.
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofData in Brief, 2019, vol. 25, p. 104289
dc.rightscc-by (c) Gené et al., 2019
dc.subjectMulti-modal dataset
dc.subjectfruit detection
dc.subjectDepth cameras
dc.subjectRGB-D cameras
dc.titleKFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data

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