This model is a fine-tuned version of the microsoft/swin-tiny-patch4-window7-224 model. It is fine-tuned on the
Sugarcane Leaf Disease Dataset for 20 epochs using a 85-10-5 split for train, validation, and testing, respectively.
It identifies 5 classes, Healthy leaves, leaves infected with Mosaic disease, Red Rot, Rust disease, and yellow leaf disease.
The model achieves ~97% accuracy on testing. Screenshots of data distribution and model performance metrics below.
