Update README.md

README.md

@@ -14,20 +14,43 @@ tags:
 - 1280x1280
 ---
 
-<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>
+# Waste Detection Trained MMDetection Models  
 
-## 🌐 Overview  
+## faster_rcnn_resnet101_1xcoco-default-mmdetection-config  
 
-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.  
+- MMDetection trained  
+- ResNet 101 Backbone  
+- Trained on COCO  
+
+## ins-waste-detection-faster_rcnn_1xcoco-mmdetection  
+
+- INS trained  
+- ResNet 101 Backbone  
+- Uses previous model as a starting base model
+- Fine-tuned on [custom dataset](https://huggingface.co/datasets/INS-IntelligentNetworkSolutions/Waste-Dumpsites-DroneImagery)  
+
+The trained models and their configs are starting seeded models as a part of the [ Raven Scan ] project, _more details bellow_  
+
+---
+
+<img style="" src="https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/ins-template/public/images/raven-scan-logo-blue-text-gray-nobg-1080x360-svg.svg" alt="Raven Scan Logo"/>
+
+
+## Platform Overview  
+
+The Raven Scan platform leverages advanced drone and satellite imagery to enhance waste management and environmental monitoring through cutting-edge technology.  
+
+Utilizing high-resolution images combined with sophisticated image annotation, object detection models, and geospatial analysis, our system offers robust tools to identify illegal dump sites and effectively manage regulated landfills.  
+
+## User Guides and Documentation  
+
+### Guides  
+
+Explore each feature through our [User Guides](https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/guides/user-guides.html)  
+
+### Documentation Page  
+
+Read our official [Documentation](https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/index.html)  
 
 ### Key Features  
 - #### Dataset Management
@@ -48,6 +71,8 @@ in order to enhance waste management and environmental monitoring.
   - 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.  
 
+Learn more from our detailed [Feature Documentation](https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/documentation/dev-docs-overview.html)  
+
 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.  
@@ -56,9 +81,26 @@ Our complete [Project Charter](https://intelligentnetworksolutions.github.io/Ill
 
 ## Acknowledgments  
 
-- Sponsor  
-  - **UNICEF Venture Fund**  
-  
- - Shoutout
+We would like to extend our deepest gratitude to the following organizations and platforms for their invaluable support
+
+### [UNICEF Venture Fund](https://www.unicef.org/innovation/venturefund)  
+
+We express our profound gratitude to the UNICEF Venture Fund for their generous support of our project. Their commitment to fostering innovation and sponsoring projects that utilize frontier technology is truly commendable and instrumental in driving positive change.
+
+### [MMDetection](https://github.com/open-mmlab/mmdetection)  
+
+A special thanks to the open-source AI training platform MMDetection. Your robust tools and extensive resources have significantly accelerated our development process.
 
-   - [**MMDetection**](https://github.com/open-mmlab/mmdetection)
+### Third Party Notices  
+
+Our project would not have been possible without the myriad of libraries and frameworks that have empowered us along the way. We owe a great debt of gratitude to all the contributors and maintainers of these projects.
+
+Thank you to everyone who has made this project possible. We couldn't have done it without you!
+
+_Raven Scan uses third-party libraries or other resources that may be distributed under licenses different than the Raven Scan software._  
+
+_In the event that we accidentally failed to list a required notice, please bring it to our attention by posting an issue on out GitHub Page._  
+
+_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._  
+  
+- All [Project Dependencies](https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/development/dependencies/dependencies.html)