---
license: mit
tags:
- image-classification
- agricultural
- plant-disease
- fastai
- resnet
widget:
  - src: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/plant-disease-test-image.jpg
    example_title: "Tomato Late Blight"
---

# 🌿 GreenLens: Plant Disease Detection Model

This is a `fastai` image classification model trained to identify 38 different types of plant diseases from leaf images.

## Model Description

**GreenLens** is a computer vision model that can classify healthy and diseased plant leaves across various species like tomato, potato, and corn. It was built by fine-tuning a **ResNet34** architecture on the augmented "New Plant Diseases Dataset".

This project was developed as an end-to-end demonstration of a real-world ML workflow: from data sourcing on Kaggle, training on Google Colab, to being shared on the Hugging Face Hub.

## How to Use this Model

To use this model, you need to have the `fastai` library installed. You can then load the model and make predictions on your images.