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--- |
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license: mit |
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datasets: |
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- INS-IntelligentNetworkSolutions/Waste-Dumpsites-DroneImagery |
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language: |
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- en |
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pipeline_tag: object-detection |
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tags: |
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- waste |
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- dumpsites |
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- drone |
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- droneimagery |
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- waste-detection |
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- 1280x1280 |
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--- |
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<h1 align="center"> |
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<small>Initial models for the</small> |
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<br/> |
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Illegal Dump Site Detection and Landfill Monitoring |
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<br /> |
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<small> Open-Source Web Application</small> |
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</h1> |
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## ๐ Overview |
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Utilizing high-resolution drone and satellite imagery for sophisticated image annotation, |
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training and usage of object detection models, |
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combined with geospatial analysis, our system offers robust tools to identify illegal dump sites and effectively manage regulated landfills |
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in order to enhance waste management and environmental monitoring. |
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### Key Features |
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- #### Dataset Management |
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- Manage extensive datasets of drone and satellite images with tools for uploading, categorizing, and maintaining image data. |
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- Features include tagging, filtering, and robust data integrity checks to ensure dataset accuracy and usability for environmental monitoring tasks. |
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- #### Image Annotation |
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- Annotate high-resolution drone and satellite imagery to help train object detection models specifically designed for precise waste detection. |
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- #### Object Detection Model Training |
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- Train sophisticated models with diverse image datasets from drone and satellite sources to enhance detection accuracy across varied environmental conditions. |
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- #### Detection and Monitoring |
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- Deploy models, both pre-trained and newly trained, to detect waste sites from aerial perspectives. |
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- Results are displayed on a georeferenced map, providing a clear and actionable visual representation. |
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- #### Landfill Management |
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- Advanced tools for managing legal landfills include the submission of waste forms, types, trucks, reports ... |
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- Integration of _3D point cloud_ scans derived from drone technology for detailed, real-time monitoring. |
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This repository aims to equip researchers, environmental agencies, and policymakers with the tools needed to monitor and respond to environmental challenges efficiently. |
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Join us in leveraging these capabilities to maintain ecological integrity and promote sustainable practices in waste management. |
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Our complete [Project Charter](https://intelligentnetworksolutions.github.io/IllegalDumpSiteDetectionAndLandfillMonitoring/about/project-charter.html). |
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## Acknowledgments |
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- Sponsor |
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- **UNICEF Venture Fund** |
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- Shoutout |
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- [**MMDetection**](https://github.com/open-mmlab/mmdetection) |
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