Kashmiri Medicinal Plant and Leaf Dataset

A dual-view dataset of 41 native Kashmiri medicinal plant species (full plant and leaf images) for AI-based classification and ethnobotanical research.
All images were manually captured from real-world environments, including botanical gardens, herbal farms, and field stations maintained by the Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST-Kashmir), Wadoora Sopore, as well as natural habitats across regions such as Kupwara . Each photograph was taken using a high-resolution Samsung Galaxy S23 camera under natural daylight and varied background conditions, ensuring that the dataset reflects real-world scenarios where lighting, texture, and surroundings differ. To ensure scientific authenticity and labeling accuracy, each plant specimen was carefully identified and verified by local botanical experts prior to inclusion. This rigorous collection and validation process enhances the dataset’s reliability and makes it a valuable resource for AI model training, research, and educational applications in the field of medicinal plant recognition.