This is a final project for the data mining course. Using pre-trained models and transfer learning, the aim is to classify the five classes of grapevine leaves. The pretrained models are MobileNetV2, ResNet50, EfficientNetB3, and InceptionNetV3. We see the effects of autoencoders on the accuracy and use 10 fold cross validation as a measurement.
You can access the comprehensive report and the google colab notebook.
- Google Colaboratory
In each folder click on the ipynb file. Then click on the Open in Colab badge. Please note that you need a google account to use colab. You can easily navigate through the project using the Table of contents.
If you have any further questions, please contact me via email.
Parisa Rabbany - Parisa.Rabbany.pr@gmail.com