Medicinal Plants Leaf Classification using CNN

This project is made for the INT247 Course. It uses CNN to extract the features from the images and perform classification. It can classify 30 different plant species: 'Abies concolor', 'Acer campestre', 'Albizia julibrissin', 'Asimina triloba', 'Betula alleghaniensis', 'Betula jacqemontii', 'Carpinus betulus', 'Castanea dentata', 'Catalpa bignonioides', 'Cedrus atlantica', 'Cercis canadensis', 'Chionanthus virginicus', 'Eucommia ulmoides', 'Fagus grandifolia', 'Ficus carica', 'Gleditsia triacanthos', 'Larix decidua', 'Magnolia acuminata', 'Magnolia grandiflora', 'Morus alba', 'Paulownia tomentosa', 'Populus deltoides', 'Robinia pseudo-acacia', 'Sassafras albidum', 'Tilia cordata', 'Toona sinensis', 'Tsuga canadensis', 'Ulmus pumila', 'Ulmus glabra', 'Ulmus rubra'. Google Colab Notebook for this project: https://colab.research.google.com/drive/1ha2RYnU7agZ137ANzZeaygcAMnghQ1b2 Flask App Link: https://bit.ly/leafidentity