遇见数据集

PhilMedic: Philippine Medicinal Plant Leaf Dataset

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Mendeley Data2024-03-15 更新2024-06-27 收录
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Medicinal plants play an important role in human mental and physical well-being. As a result, recognizing and categorizing medicinal herbs is critical to providing quality medicines. This dataset contains forty (40) different species of medicinal plants found in the Philippines with a total of 4922 leaves. This dataset was used in the study "Classifying Philippine Medicinal Plants Based on Their Leaves Using Deep Learning" published on July 13, 2023. Using VGG19 as classifier in the study, it yielded an average accuracy of 92.67%. The images were captured in natural light using a 48-MP Android phone. Each leaf is photographed on both sides (front and back) to ensure that it can be recognized in different poses. Data collection started from September 30, 2022 to December 9, 2022. The following are the 40 classes: Class1-Hibiscus rosa-sinensis(HRS) or Hibiscus; Class2-Psidium guajava(PG) or Guava; Class3-Antidesma bunius(AB) or Salamander tree; Class4-Vitex negundo(VN) or Five-leaved chaste tree; Class5-Moringa oleifera(MO) or Horseradish tree; Class6-Blumea balsamifera(BB) or Ngai camphor; Class7-Origanum vulgare(OV) or Wild marjoram; Class8-Pepromia pellucida(PP) or Silver bush; Class9-Centella asiatica(CA) or Indian hydocotyle; Class10-Coleus scutellarioides(CS) or Painted Nettle; Class11-Phyllanthus niruri(PN) or Stone-breaker; Class12-Corchorus olitorius(CO) or Jute leaves; Class13-Momordica charantia (MC) or Bitter gourd; Class14-Euphorbia hirta(EH) or Asthma plant; Class15-Curcuma longa(CL) or Turmeric; Class16-Carmona retusa(CR) or Philippine Tea; Class17-Senna alata(SA) or Ringworm bush; Class18-Mentha cordifolia Opiz(MCO) or Spearmint; Class19-Capsicum frutescens(CF) or Chili pepper; Class20-Jatropha curcas(JC) or Physic Nut; Class21-Ocimum basilicum(OB) or Sweet basil; Class22-Nerium oleander(NO) or Oleander; Class23-Pandanus amaryllifolius(PA) or Vanilla grass; Class24-Aloe barbadensis Miller(ABM) or Aloe vera; Class25-Lagerstroemia speciosa(LS) or Crape Myrtle; Class26-Averrhoea bilimbi(AVB) or Cucumber tree; Class27-Annona muricata(AM) or Soursop; Class28-Citrus aurantiifolia(CIA) or Lime Tree; Class29-Premna odorata(PO) or Fragrant Premna; Class30-Gliricidia sepium(GS) or Mexican lilac; Class31-Citrus sinensis(CIS) or Sweet Orange; Class32-Mangifera indica(MI) or Mango; Class33-Citrus microcarpa(CM) or Philippine lime; Class34-Impatiens balsamina(IB) or Garden balsam; Class35-Arachis hypogaea(AH) or Peanut; Class36-Tamarindus indica(TI) or Tamarind; Class37-Leucaena leucocephala(LL) or River Tamarind; Class38-Ipomoea batatas(IPB) or Sweet potato; Class39-Manihot esculenta(ME) or Cassava; Class40-Citrus maxima(CMA) or Grapefruit.

药用植物在人类的身心健康中发挥着不可或缺的重要作用。因此,识别并分类药用草本植物,对于提供优质药物而言至关重要。本数据集涵盖菲律宾境内发现的40种不同药用植物,共计4922片叶片样本。该数据集被应用于2023年7月13日发表的《基于叶片深度学习的菲律宾药用植物分类》研究中。此项研究以VGG19作为分类器,最终获得了92.67%的平均准确率。所有图像均在自然光环境下,通过4800万像素的安卓手机拍摄完成。为确保能在不同视角下完成识别任务,每片叶片均拍摄了正反两面。数据采集工作于2022年9月30日至2022年12月9日期间开展。本次数据集包含以下40个类别:类别1:朱槿(Hibiscus rosa-sinensis,缩写HRS),俗称木槿;类别2:番石榴(Psidium guajava,缩写PG),俗称芭乐;类别3:五月茶(Antidesma bunius,缩写AB),俗称火筒树;类别4:黄荆(Vitex negundo,缩写VN),俗称五叶牡荆;类别5:辣木(Moringa oleifera,缩写MO),俗称辣根树;类别6:艾纳香(Blumea balsamifera,缩写BB),俗称恩盖樟脑;类别7:牛至(Origanum vulgare,缩写OV),俗称野生马郁兰;类别8:豆瓣绿(Peperomia pellucida,缩写PP),俗称银灌木;类别9:积雪草(Centella asiatica,缩写CA),俗称印度天胡荽;类别10:彩叶草(Coleus scutellarioides,缩写CS),俗称彩叶荨麻;类别11:叶下珠(Phyllanthus niruri,缩写PN),俗称破石草;类别12:黄麻(Corchorus olitorius,缩写CO),俗称黄麻叶;类别13:苦瓜(Momordica charantia,缩写MC),俗称凉瓜;类别14:飞扬草(Euphorbia hirta,缩写EH),俗称哮喘草;类别15:姜黄(Curcuma longa,缩写CL),俗称郁金;类别16:福建茶(Carmona retusa,缩写CR),俗称菲律宾茶;类别17:翅荚决明(Senna alata,缩写SA),俗称癣灌木;类别18:留兰香(Mentha cordifolia Opiz,缩写MCO),俗称留兰香薄荷;类别19:小米辣(Capsicum frutescens,缩写CF),俗称辣椒;类别20:麻疯树(Jatropha curcas,缩写JC),俗称小桐子;类别21:罗勒(Ocimum basilicum,缩写OB),俗称甜罗勒;类别22:夹竹桃(Nerium oleander,缩写NO),俗称欧夹竹桃;类别23:香露兜(Pandanus amaryllifolius,缩写PA),俗称香兰草;类别24:库拉索芦荟(Aloe barbadensis Miller,缩写ABM),俗称芦荟;类别25:大花紫薇(Lagerstroemia speciosa,缩写LS),俗称紫薇;类别26:三敛(Averrhoea bilimbi,缩写AVB),俗称黄瓜树;类别27:刺果番荔枝(Annona muricata,缩写AM),俗称红毛榴莲;类别28:青柠(Citrus aurantiifolia,缩写CIA),俗称酸橙树;类别29:香豆腐柴(Premna odorata,缩写PO),俗称香臭黄荆;类别30:墨西哥丁香(Gliricidia sepium,缩写GS),俗称假紫荆;类别31:甜橙(Citrus sinensis,缩写CIS),俗称香橙;类别32:杧果(Mangifera indica,缩写MI),俗称芒果;类别33:黎檬(Citrus microcarpa,缩写CM),俗称菲律宾青柠;类别34:凤仙花(Impatiens balsamina,缩写IB),俗称指甲花;类别35:花生(Arachis hypogaea,缩写AH),俗称落花生;类别36:罗望子(Tamarindus indica,缩写TI),俗称酸角;类别37:银合欢(Leucaena leucocephala,缩写LL),俗称河罗望子;类别38:甘薯(Ipomoea batatas,缩写IPB),俗称番薯;类别39:木薯(Manihot esculenta,缩写ME),俗称树薯;类别40:柚(Citrus maxima,缩写CMA),俗称葡萄柚。

创建时间:
2024-03-14
搜集汇总
数据集介绍
PhilMedic: Philippine Medicinal Plant Leaf Dataset 数据集图片
背景与挑战
背景概述
PhilMedic数据集是一个专注于菲律宾药用植物叶子图像的数据集,包含40种不同物种的4922张叶子图像,每张图像均在自然光下用手机拍摄并涵盖正反两面。该数据集用于深度学习研究,在相关分类实验中VGG19模型达到了92.67%的平均准确率,适用于图像分类和植物识别任务。
以上内容由遇见数据集搜集并总结生成
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