- python3
- tensorflow
- PIL
- Keras
- numpy
- Healthy Leaves
- Phylloxera
- Leaf Blight
- ESCA measles
- Mildew
- Black rot
There are 1,110 images with 200 images per class.
Images are zipped in grape-disease-data.zip and were stored on a shared Google Drive for training.
Google Colab and tensorflow were used to train the models.
Inception-Resnet-V2 with transfer learning showed ~85% validation accuracy.