---
language: en
license: mit
library_name: tensorflow
tags:
  - agriculture
  - image-classification
  - maize
  - plant-disease
datasets:
  - custom
metrics:
  - accuracy
pipeline_tag: image-classification
---

# Maize Disease Detection Model

This model identifies common maize diseases from leaf images.

## Model Description

- **Developed by:** [Your Name/Team]
- **Model type:** Image Classification (CNN)
- **Task:** Maize Disease Detection
- **Training Data:** Maize leaf disease dataset
- **Validation Accuracy:** XX%

## Diseases Detected

- Northern Leaf Blight
- Gray Leaf Spot
- Common Rust
- Healthy Plants

## Usage

This model accepts leaf images and returns disease classifications with confidence scores.

```python
from PIL import Image
import requests

API_URL = "https://api-inference.huggingface.co/models/Janvierscode/maize-disease-detection"
headers = {"Authorization": "Bearer YOUR_API_TOKEN"}

def query(image_path):
    with open(image_path, "rb") as f:
        data = f.read()
    response = requests.post(API_URL, headers=headers, data=data)
    return response.json()

# Example usage
result = query("path/to/image.jpg")
print(result)