MEDICINAL HERBS DETECTION SYSTEM

Abstract

Developed an improved deep learning model based on CNN to recognize 9 common medicinal plants in Vietnam: aloevera, basil, bitter melon, daisy, garlic, ginger, lotus, mint, and rose. The model achieved an mAP score of 73.88% after training, demonstrating accurate recognition and localization of these objects. The model was deployed on Android smartphones.