metadata

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.

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)