# Automated Leaf Health Assessment

### Evaluating leaf health couldn't be easier. Users can upload a leaf image, and the model swiftly determines whether the leaf is in good health or not.

## Disease Detection:
The model excels at identifying diverse leaf diseases. With training encompassing 38 distinct disease cases, it demonstrates robust detection capabilities across a wide range of plant health issues.

## Application:
Try the application at huggingface space
 
Application [link](https://huggingface.co/spaces/Sadashiv/CropGaurd)

## Demo:
### Input Page
<img src="https://github.com/07Sada/plant-diseases-classifier/assets/112761379/98ff93bb-afed-4445-b63b-2ff0f9126831" alt="Image 1" width="800">

### Output Page
<img src="https://github.com/07Sada/plant-diseases-classifier/assets/112761379/f4081df3-4a9b-443a-b652-e6d9ab3e76df" alt="Image 1" width="800">

## Dataset:
The project utilizes an image dataset sourced from a Kaggle dataset, [link for dataset](https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset)

However, to simplify retrieval, the dataset is stored within Hugging Face's platform. [link for dataset](https://huggingface.co/datasets/Sadashiv/Plant-Diseases-Dataset)

## Technologies Used:
<h3 align="left">Languages and Tools:</h3>
<p align="left"> <a> <img src="https://github.com/07Sada/plant-diseases-classifier/assets/112761379/7d980d0a-bcf8-407c-8ce5-f534098fa0f8" alt="Image 1" width="100"></a> 
<a> <img src="https://www.vectorlogo.zone/logos/pocoo_flask/pocoo_flask-icon.svg" alt='Image 2' widht='100'></a> 
<a> <img src="https://www.vectorlogo.zone/logos/git-scm/git-scm-icon.svg" alt='Image 2' widht='100'/></a> 
<a> <img src="https://raw.githubusercontent.com/devicons/devicon/master/icons/mongodb/mongodb-original-wordmark.svg" alt='Image 2' width="8%"/> </a> 
<a> <img src="https://upload.wikimedia.org/wikipedia/commons/9/9a/Visual_Studio_Code_1.35_icon.svg" alt='Image 2' width="8%"/></a> 
<a> <img src="https://www.vectorlogo.zone/logos/python/python-horizontal.svg" alt='Image 2' widht='100'/></a> 
<a> <img src="https://www.vectorlogo.zone/logos/w3_html5/w3_html5-icon.svg" alt='Image 2' widht='100'/></a> 
<a> <img src="https://www.vectorlogo.zone/logos/w3_css/w3_css-icon.svg" alt='Image 2' widht='100'/></a> 
</p>

## Model Architecture:
The Yolov8 model architecture is employed for this project.

[Link](https://github.com/ultralytics/ultralytics) for official github repository