KFuji RGB-DS dataset
DOI10.5281/zenodo.3715991Zenodo3715991MaRDI QIDQ6709512
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 11 May 2020
Copyright license: No records found.
The KFuji RGB-DS dataset 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 reader is referred to visit articles [1] and [2] for a description of methodology and further information about this dataset: [1] Gen-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. 2019. Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture, 162, 689-698. DOI: 10.1016/j.compag.2019.05.016 [2] Gen-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. 2019. KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in brief, 25 (2019), 104289. DOI: 10.1016/j.dib.2019.104289
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