metadata

language: en
tags:
  - tensorflow
  - classification
  - plant-disease-detection
license: mit

Leafy Vegetable Disease Detection Model

Model Description

This model is trained to detect diseases in leafy vegetables using images. It utilizes the PlantVillage dataset to identify various plant diseases.

Intended Use

This model can be used for:

Detecting diseases in images of leafy vegetables.
Providing feedback and recommendations for farmers and agricultural specialists.

How to Use

You can use this model by sending an image of a leafy vegetable to the Inference API endpoint.

Model Details

Input: Image (JPEG/PNG)
Output: Prediction of disease type with confidence scores.

Training Data

This model is trained on the PlantVillage dataset, which contains labeled images of healthy and diseased plants.

Limitations

The model's performance may vary based on image quality and environmental conditions.
It may not recognize diseases not present in the training dataset.

Example

Here’s an example of how to use this model with the Inference API:

import requests

url = "https://api-inference.huggingface.co/models/JayGab/Leafy-Vegetable-Disease-Detection"

files = {'file': open('path_to_image.jpg', 'rb')}
response = requests.post(url, files=files)
print(response.json())