Dataset of Medicinal Plant Leaves Hibiscus, Aloe Vera, Moringa, Tulsi, and Neem

Published: 21 November 2024| Version 1 | DOI: 10.17632/d297rvr3r6.1
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Description

This dataset contains high-quality raw and augmented image data of medicinal plant leaves, including Hibiscus (Hibiscus rosa-sinensis), Aloe Vera (Aloe barbadensis miller), Moringa (Moringa oleifera), Tulsi (Ocimum sanctum), and Neem (Azadirachta indica). The raw images were captured under controlled environmental conditions to preserve the distinct morphological characteristics of each leaf, such as shape, venation, and surface texture. This dataset is intended for use in various fields, including botany, pharmacological research, biodiversity studies, and artificial intelligence applications. It is particularly relevant for the development of automated systems for medicinal plant identification and for understanding the morphological features of plants used in traditional medicine. Data: 1. Hibiscus (Hibiscus rosa-sinensis) =535 (2107) 2. Aloe Vera (Aloe barbadensis miller= 235(1175) 3. Moringa (Moringa oleifera)= 400(1745) 4. Tulsi (Ocimum sanctum)= 399( 1995) 5. Neem (Azadirachta indica)= 1605(4210) Total raw Data:3173 Total Augmented data: 11232 File Format: JPG Image Resolution: High-resolution Applications: 1. Medicinal plant identification 2. Biodiversity research 3. Pharmacological studies 4. Machine learning and AI-based classification systems

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Institutions

Daffodil International University

Categories

Medicine, Health Sciences

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