file structure:

root/
β”œβ”€β”€ input/  
β”‚   └── Tulsi-1/  # Dataset folder
β”‚       β”œβ”€β”€ train/
β”‚       β”‚   β”œβ”€β”€ Bacterial/
β”‚       β”‚   β”œβ”€β”€ Fungal/
β”‚       β”‚   β”œβ”€β”€ Healthy/
β”‚       β”‚   └── Pests/
β”‚       β”œβ”€β”€ valid/
β”‚       β”‚   β”œβ”€β”€ Bacterial/
β”‚       β”‚   β”œβ”€β”€ Fungal/
β”‚       β”‚   β”œβ”€β”€ Healthy/
β”‚       β”‚   └── Pests/
β”‚       β”œβ”€β”€ README.dataset.txt
β”‚       └── README.roboflow.txt
└── src/
    β”œβ”€β”€ datasets.py
    β”œβ”€β”€ inference.py
    β”œβ”€β”€ model.py
    β”œβ”€β”€ train.py
    └── utils.py

The files inside src are sourced from: debuggercafe.com following their tutorials for finetuning swin-transformers for Image classification

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