Update README.md

README.md

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----
-license: cc-by-nc-nd-4.0
----
+---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  
+Our 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 [@sab](https://www.linkedin.com/in/severinosab/) for more information about the premium model.  
+  
+---  
+  
+## API Access  
+Our API offers seamless integration for developers looking to embed disease detection capabilities into their applications. Whether for basic or advanced features, our API is a flexible and scalable solution.  
+  
+Contact me on Linkedin [@sab](https://www.linkedin.com/in/severinosab/) for API access details.  
+  
+---  
+  
+Collaborate with us to ensure healthier vineyards and improved agricultural productivity.