Update README.md

README.md

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 - droneimagery
 - waste-detection
 - 1280x1280
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+---
+
+<h1 align="center">
+  <small>Initial models for the</small>
+  <br/>
+  Illegal Dump Site Detection and Landfill Monitoring 
+  <br />
+  <small>  Open-Source Web Application</small>
+</h1>
+
+## 🌐 Overview  
+
+Utilizing high-resolution drone and satellite imagery for sophisticated image annotation, 
+training and usage of object detection models, 
+combined with geospatial analysis, our system offers robust tools to identify illegal dump sites and effectively manage regulated landfills 
+in order to enhance waste management and environmental monitoring.  
+
+### Key Features  
+- #### Dataset Management
+  - Manage extensive datasets of drone and satellite images with tools for uploading, categorizing, and maintaining image data.  
+  - Features include tagging, filtering, and robust data integrity checks to ensure dataset accuracy and usability for environmental monitoring tasks.
+
+- #### Image Annotation  
+  - Annotate high-resolution drone and satellite imagery to help train object detection models specifically designed for precise waste detection.  
+
+- #### Object Detection Model Training  
+  - Train sophisticated models with diverse image datasets from drone and satellite sources to enhance detection accuracy across varied environmental conditions.  
+
+- #### Detection and Monitoring  
+  - Deploy models, both pre-trained and newly trained, to detect waste sites from aerial perspectives.  
+  - Results are displayed on a georeferenced map, providing a clear and actionable visual representation.  
+
+- #### Landfill Management  
+  - Advanced tools for managing legal landfills include the submission of waste forms, types, trucks, reports ...
+  - Integration of _3D point cloud_ scans derived from drone technology for detailed, real-time monitoring.  
+
+This repository aims to equip researchers, environmental agencies, and policymakers with the tools needed to monitor and respond to environmental challenges efficiently.  
+
+Join us in leveraging these capabilities to maintain ecological integrity and promote sustainable practices in waste management.  
+
+Our complete [Project Charter](https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/about/project-charter.html).
+
+## 👏 Acknowledgments  
+
+- Sponsor  
+  - **UNICEF Venture Fund**  
+  
+- _We would like to express our profound gratitude to our sponsor, the UNICEF Venture Fund, for their generous support of our project.  
+  Their commitment to fostering innovation and their sponsorship of similar projects that utilize frontier technology is truly commendable and instrumental in driving positive change._  
+
+- _Each team member has played a pivotal role in bringing this project to fruition, and we are immensely thankful for their hard work and dedication._
+
+ - Shoutout
+
+   - [**MMDetection**](https://github.com/open-mmlab/mmdetection)