---
license: mit
library_name: pytorch
tags:
  - image-classification
  - vision-transformer
  - plant-disease
  - pytorch
  - computer-vision
pipeline_tag: image-classification
---

# Plant Leaf Disease Classification using Vision Transformer

A Vision Transformer (ViT) built from scratch using PyTorch for classifying plant leaf diseases.

The model takes a **64×64 RGB image** as input and predicts one of **39 plant disease classes**.

## Model Performance

The model achieved approximately:

- **99.16% Test Accuracy**
- Input resolution: `64 × 64`
- Number of classes: `39`
- Architecture: Vision Transformer
- Framework: PyTorch

> Test accuracy may vary slightly depending on the training configuration and dataset split.

## Model Architecture

This implementation uses a custom Vision Transformer rather than a pretrained ViT.

### Patch Embedding

Images are divided into `8 × 8` patches.

For a `64 × 64` image:

```text
64 / 8 = 8