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---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: grape-leaf-disease-detector
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9200000166893005
datasets:
- grape-leaf-disease-dataset
license: cc-by-nc-nd-4.0
---
# 🍇 Grape Leaf Disease Detector
## Overview
The **Grape Leaf Disease Detector** is an advanced AI model based on YOLO5, designed to identify and classify diseases affecting grape leaves. By leveraging state-of-the-art image classification techniques, this tool helps viticulturists maintain healthy vineyards by providing accurate and timely disease detection.
## Key Features
- **High Precision:** Achieve excellent accuracy in detecting various grape leaf diseases.
- **Proactive Management:** Facilitate early intervention to minimize disease impact.
- **Cost-Efficient:** Reduce the need for labor-intensive manual inspections.
- **Seamless Integration:** Easily integrate with existing vineyard management software.
## Benefits
### Precision in Detection
My model ensures high accuracy in identifying diseases, allowing for precise treatments and interventions.
### Early Disease Management
Early detection is key to preventing the spread of diseases. This tool provides timely insights, enabling quick responses.
### Cost Savings
Automating the detection process reduces labor costs and increases efficiency in vineyard management.
### Ease of Use
The model is designed for easy integration with various systems, making it accessible for different types of users, from vineyard owners to researchers.
## How It Works
1. **Image Upload:** Capture and upload a photo of a grape leaf.
2. **Analysis:** The model processes the image to identify the disease or confirm the leaf's health.
3. **Results:** Receive immediate feedback to take necessary actions, such as specific treatments or further monitoring.
## Who Can Benefit?
- **Vineyard Owners:** Maintain the health of vineyards with minimal manual intervention.
- **Agricultural Researchers:** Gain insights into disease patterns and effectiveness of treatments.
- **Agronomists:** Assist in making informed decisions regarding plant health.
- **Plant Pathologists:** Enhance the accuracy of disease diagnosis.
- **Agricultural Extension Services:** Provide better support and advice to farmers.
## Premium Version
For users requiring even higher accuracy and a broader range of disease detection, a **premium version** of the model is available. This version is trained on a more extensive and high-quality dataset, offering enhanced detection capabilities.
## Overview
The **Grape Leaf Disease Detector** is an advanced AI model based on YOLO5, designed to identify and classify diseases affecting grape leaves. By leveraging state-of-the-art image classification techniques, this tool helps viticulturists maintain healthy vineyards by providing accurate and timely disease detection.
## Key Features
- **High Precision:** Achieve excellent accuracy in detecting various grape leaf diseases.
- **Proactive Management:** Facilitate early intervention to minimize disease impact.
- **Cost-Efficient:** Reduce the need for labor-intensive manual inspections.
- **Seamless Integration:** Easily integrate with existing vineyard management software.
## Benefits
### Precision in Detection
My model ensures high accuracy in identifying diseases, allowing for precise treatments and interventions.
### Early Disease Management
Early detection is key to preventing the spread of diseases. This tool provides timely insights, enabling quick responses.
### Cost Savings
Automating the detection process reduces labor costs and increases efficiency in vineyard management.
### Ease of Use
The model is designed for easy integration with various systems, making it accessible for different types of users, from vineyard owners to researchers.
## How It Works
1. **Image Upload:** Capture and upload a photo of a grape leaf.
2. **Analysis:** The model processes the image to identify the disease or confirm the leaf's health.
3. **Results:** Receive immediate feedback to take necessary actions, such as specific treatments or further monitoring.
## Who Can Benefit?
- **Vineyard Owners:** Maintain the health of vineyards with minimal manual intervention.
- **Agricultural Researchers:** Gain insights into disease patterns and effectiveness of treatments.
- **Agronomists:** Assist in making informed decisions regarding plant health.
- **Plant Pathologists:** Enhance the accuracy of disease diagnosis.
- **Agricultural Extension Services:** Provide better support and advice to farmers.
## Premium Version
For users requiring even higher accuracy and a broader range of disease detection, a **premium version** of the model is available. This version is trained on a more extensive and high-quality dataset, offering enhanced detection capabilities.
📩 **Contact me on [LinkedIn](https://www.linkedin.com/in/severinosab/)** for more information about the **premium model**.
## API Access
My API offers seamless integration for developers looking to embed disease detection capabilities into their applications. Whether for basic or advanced features, the API is a flexible and scalable solution.
📩 **Contact me on [LinkedIn](https://www.linkedin.com/in/severinosab/)** for **API access** details.
---
🤝 Collaborate with me to ensure healthier vineyards and improved agricultural productivity. |