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 This dataset was partly funded by the Spanish Ministry of Science, Innovation and Universities. Grant RTI2018-094222-B-I00 [PAgFRUIT project] by MCIN/AEI/10.13039/501100011033 and by “ERDF, a way of making Europe”, by the European Union.

用于树上苹果检测与测量的富士苹果数据集，共包含3925张标注有模态分割掩码、非模态分割掩码（amodal segmentation mask）以及果实直径真值的图像。本数据集曾用于训练发表于https://github.com/GRAP-UdL-AT/Amodal_Fruit_Sizing 的深度学习架构，所得训练模型可通过下载model_000999.pth文件获取。本数据集部分受西班牙科学、创新与大学部资助，资助项目编号为RTI2018-094222-B-I00 [PAgFRUIT项目]，由MCIN/AEI/10.13039/501100011033以及欧盟“ERDF，打造欧洲的路径”资助。

搜集汇总

背景与挑战

背景概述

PApple_RGB-D-Size dataset是一个用于树上苹果检测和测量的数据集，包含3925张标注了模态和非模态分割掩码及果实直径真实值的图像。该数据集由西班牙科学、创新和大学部部分资助，用于训练特定的深度学习架构。