---
license: apache-2.0
datasets:
- Moai633/7653_plant
language:
- en
metrics:
- accuracy
base_model:
- microsoft/swin-tiny-patch4-window7-224
pipeline_tag: image-classification
library_name: adapter-transformers
---

## file structure:

```bash
root/
├── input/  
│   └── Tulsi-1/  # Dataset folder
│       ├── train/
│       │   ├── Bacterial/
│       │   ├── Fungal/
│       │   ├── Healthy/
│       │   └── Pests/
│       ├── valid/
│       │   ├── Bacterial/
│       │   ├── Fungal/
│       │   ├── Healthy/
│       │   └── Pests/
│       ├── README.dataset.txt
│       └── README.roboflow.txt
└── src/
    ├── datasets.py
    ├── inference.py
    ├── model.py
    ├── train.py
    └── utils.py

```

The files inside src are sourced from: [debuggercafe.com](https://debuggercafe.com/image-classification-using-swin-transformer/)
following their tutorials for finetuning swin-transformers for Image classification