The aim of this project is to try to build a flower classification model that can classify flower images into 102 categories.
the data used to train the models is the 102-flowers dataset (This DATASET was created by the Visual Geometry Group of Oxford University, and contains at least 40 examples for each of 102 types of flowers). The 102 categories (and numbers of examples for each) is described HERE.
Before executing the python notebook file, please upload the data from the referred website and add it to the data folder.
- Python v > 3.6
- jupyter-notebook
- tensorflow v > 2.0
- tensorflow documentation : https://www.tensorflow.org/api_docs
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition" by Aurélien Géron