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Plumbago Zeylanica ( Chitrak ) leaf image dataset: A comprehensive collection for botanical studies, herbal medicine research, and environmental analyses.

Data in brief · 9 Dec 2023 · 10.1016/j.dib.2023.109929

Abstract

The Plumbago Zeylanica ( Chitrak ) Leaf Image Dataset is a valuable resource for botanical studies, herbal medicine research, and environmental analyses. Comprising a total of 10,660 high-resolution leaf images, the dataset is meticulously categorized into three distinct classes: Unhealthy leaves (3343 images), Healthy leaves (5288 images), and Dried leaves (2029 images). These images were captured from the medicinal plant Chitrak , a species of paramount importance in traditional medicine and environmental contexts. Researchers and practitioners can benefit from this dataset's richness in terms of both quantity and quality, using it to develop and test algorithms for leaf classification and health assessment. The Chitrak leaf image dataset holds the potential to foster innovative investigations and applications within the domains of botany, medicine, and environmental sciences.

Plant phenotyping relevance

植物の葉画像を用いた健康状態分類のための大規模データセットであり、表現型(葉の健全性・乾燥状態)の取得と評価を主目的とするため、方法文献の対象に含める。

abstractComprising a total of 10,660 high-resolution leaf images

Code and data availability

The paper is a data descriptor for the authors' own Plumbago Zeylanica (Chitrak) leaf image dataset (10,660 images), publicly deposited on Mendeley Data with an explicit direct URL and DOI, matching an allowed URL.

Datasetpublic

the dataset and preserve the important details Data source location Vishwakarma University, Kondhwa Budruk, Maharashtra, Pune, India Latitude: 18.4605° N Longitude: 73.8837° E Data accessibility Repository name: Plumbago Zeylanica (Chitrak) Leaf Image Dataset Data identification number: 10.17632/twpv7hhmgb.2 Direct URL to data: https://data.mendeley.com/datasets/twpv7hhmgb/2 1 Value of the Data • This dataset comprises a substantial collection of 10,660 high-resolution leaf images, making it a comprehensive resource for researchers in various fields. The dataset size greatly enhances the potential for diverse analyses and model development. • Data scientists and machine learning practitioner

Open resource ↗10.17632/twpv7hhmgb.2 · lines:1-57

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