- Building a CNN based classifier to classify regional plant diseases given the plant leaf image.
- Load the trained weights in to the model to classify the input image.
- Ensure the dimension of the image passed to the network is 100x100x3
- You can modify all hyperparameters in main.py to trian from the scratch (i.e., With random initialization of Parameters)
Only a subset of classes (specific to the region) in the dataset were considered.
- Link to download data (background subtracted) in pickle format
- Download train data
- Download train label
