The Greenherb: Analytics and Recognition for Healthcare Solution (GARHS) is on innovative web-based application developing using Django and Python. The study and consideration among 19 therapeutic herbs have consistently been of great importance in preserving human health. However, the process of identifying these plants can be extremely time-consuming and requires the expertise of a specialist. Therefore, the implementation of a vision-based system can greatly assist researchers and individuals in quickly and accurately recognizing herb plants. Its primary goal is to revolutionize the identification of plant species though advanced images recognition models. By analyzing user-uploaded leaf images, GARHS provides accurate identification of plant species and offers detailed information on their medicinal qualities. In this paper, we provide a dataset of species of Indian medical plants. The collection of data is collected from region of Karnataka. A dataset includes features like different backdrop colors, illumination levels, and resolution through the year. The dataset includes leaf photos of eighty different plant species, totaling 6900 samples that were taking using smartphones in real-time condition. The dataset help would be beneficial for researchers to investigate on the creation of algorithmic models grounded in images processing, Machine understanding idea to impart knowledge about medical herbs.