PApple_RGB-D-Size dataset

Fuji apple dataset for on-tree apple detection and measurment containing 3925 images annotated with modal and amodal segmentation masks and fruit diameter ground truth. This dataset was used to train the deep learning architecture published at https://github.com/GRAP-UdL-AT/Amodal_Fruit_Sizing. The resulting trained model is available by downloading in the file: model_000999.pth

用于挂树苹果检测与测量的富士苹果数据集，包含3925张经模态分割掩码（modal segmentation mask）、非模态分割掩码（amodal segmentation mask）及果实直径真值标签标注的图像。本数据集被用于训练已公开于https://github.com/GRAP-UdL-AT/Amodal_Fruit_Sizing的深度学习架构。最终训练得到的模型可通过下载文件model_000999.pth获取。

搜集汇总

背景与挑战

背景概述

PApple_RGB-D-Size数据集是一个包含3925张富士苹果图像的集合，用于树上苹果检测和尺寸测量，每张图像都标注了模态和非模态分割掩码以及果实直径的真实值。该数据集用于训练深度学习架构，相关模型和代码可在指定GitHub链接中获取。