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用于图像分类的柑橘数据集。

Citrus dataset for image classification.

作者信息

Huang Mei-Ling, Chen You-An

机构信息

Department of Industrial Engineering & Management, National Chin-Yi University of Technology, Taichung, Taiwan.

出版信息

Data Brief. 2023 Oct 11;51:109628. doi: 10.1016/j.dib.2023.109628. eCollection 2023 Dec.

Abstract

Citrus fruits are a specialty of the subtropical region and are currently the most widely cultivated and produced fruits in Taiwan. They contain a wealth of vitamins and minerals, including vitamin C, potassium, magnesium, and more, offering anti-inflammatory and antioxidant benefits. Citrus plants are among the economically significant fruits in Taiwan, and there are several citrus species that share a similar appearance. We have constructed a database containing the four most commonly purchased citrus varieties in the market. This database comprises a total of 1379 original images, which have been expanded to 7584 images using six different data augmentation methods. We have chosen three Convolutional Neural Network (CNN) models that have achieved an accuracy rate exceeding 95 % in classifying the four varieties of citrus fruits.

摘要

柑橘类水果是亚热带地区的特产,目前是台湾种植和产量最广泛的水果。它们富含多种维生素和矿物质,包括维生素C、钾、镁等,具有抗炎和抗氧化功效。柑橘类植物是台湾具有经济意义的水果之一,有几种柑橘品种外观相似。我们构建了一个包含市场上最常购买的四种柑橘品种的数据库。该数据库共有1379张原始图像,使用六种不同的数据增强方法将其扩展到7584张图像。我们选择了三种卷积神经网络(CNN)模型,这些模型在对四种柑橘类水果品种进行分类时准确率超过了95%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e12/10587710/da6b7498c9cb/gr1.jpg

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