Update README.md

README.md

@@ -1,31 +1,23 @@
----  
-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  
----  
+---
+license: cc-by-nc-nd-4.0
+language:
+- en
+- it
+metrics:
+- accuracy
+base_model:
+- Ultralytics/YOLOv8
+pipeline_tag: image-classification
+tags:
+- biology
+---
 
 # 🍇 Grape Leaf Disease Detector  
   
-## Overview  
+# 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  
+# 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.  
@@ -44,64 +36,23 @@ Automating the detection process reduces labor costs and increases efficiency in
 ### 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  
+# 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?  
+# 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  
+# 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.