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

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.

Keywords

• Classification
• Image-based analysis
• Leaf images
• Plant health
• Machine learning