KFuji RGB-DS dataset

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] Gené-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] Gené-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

KFUJI RGB-DS数据集由967幅采集自果树的富士苹果多模态图像构成，采集设备为微软Kinect v2（Microsoft, 美国华盛顿州雷德蒙德市微软公司）。单幅图像包含三类模态的信息：彩色（RGB）、深度（D）以及经距离校正的红外强度（S）。果实位置的真值均通过人工标注，全数据集总计标注了12839个富士苹果。如需了解该数据集的方法学细节与更多相关信息，请参阅文献[1]与[2]：
[1] Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. 2019. 基于RGB-D相机及其辐射特性的多模态深度学习实现果实检测. 《计算机与电子农业》, 162, 689-698. DOI: 10.1016/j.compag.2019.05.016
[2] Gené-Mola J, Vilaplana V, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Gregorio E. 2019. KFuji RGB-DS数据库：面向果实检测的富士苹果多模态图像数据集（含彩色、深度与距离校正红外数据）. 《数据简报》, 25(2019), 104289. DOI: 10.1016/j.dib.2019.104289

搜集汇总

背景与挑战

背景概述

KFuji RGB-DS数据集是一个用于水果检测的多模态图像数据集，包含967张使用Microsoft Kinect v2拍摄的富士苹果树图像，每张图像提供颜色（RGB）、深度（D）和红外强度（S）三种模态信息。该数据集已手动标注了12,839个苹果位置，主要用于计算机视觉和深度学习在农业机器人领域的应用，如多模态水果检测研究。