BD-MediFlora-22: A 22-Species Medicinal Plant Leaf Dataset

In traditional and modern healthcare systems, medical plants can play a vital role due to their bioactive compounds, which are used for treating various diseases and maintaining human health. The “BD-MediFlora-22: A 22-Species Medicinal Plant Leaf Dataset” is a comprehensive collection of high-resolution images of several medicinal plant leaves. 1. The “BD-MediFlora-22” dataset consists of 3096 images with 22 distinct classes. 2. The included plant leaf species are Bay leaf, Bermuda grass, China rose, Chinese motherwort, Earleaf acacia, Eucalyptus, Guava, Henna, Hill glorybower, Holy basil, Indian pennywort, Lemon, Malabar nut, Marigold, Moringa, Neem, Periwinkle, Skunk vine, Star fruit, Thumbai, and Toothache plant. 3. Each image has been standardized to a high resolution of 512*512 pixels with uniform white lighting conditions. 4. All images are stored in JPEG (.jpg) format. 5. These medical plant leaves are collected from 3 diverse geographical locations in Bangladesh: Bangladesh Agricultural University (BAU), Daffodil International University (DIU), and Horticulture Center, Mymensingh. 6. The “BD-MediFlora-22” dataset can be used in research in several domains, including medical plant classification by integrating deep learning and computer vision and AI-based herbal plant identification.