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- # README.md iรงin
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- title: AI Geo-Referencing System
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- emoji: ๐Ÿ—บ๏ธ
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  sdk: gradio
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  sdk_version: 4.0.0
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  app_file: app.py
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- license: mit
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  ---
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- # ๐Ÿ—บ๏ธ Advanced AI Geo-Referencing System
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- Professional-grade geolocation prediction from aerial and satellite imagery using state-of-the-art AI models.
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- ## Features
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- - ๐Ÿ“ Single image coordinate prediction
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- - ๐Ÿ“Š Batch processing with statistical analysis
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- - ๐Ÿ—บ๏ธ Interactive maps with uncertainty visualization
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- - ๐Ÿ“ˆ Regional classification and confidence scoring
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- - ๐Ÿ“ค Multiple export formats (GeoJSON, CSV, Excel)
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- - ๐Ÿค– Multi-model ensemble (DINOv2, EuroSAT, EarthView, S2-NAIP)
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-
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- ## Models Used
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- - **DINOv2 Base**: Vision transformer backbone
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- - **EarthView Dataset**: High-resolution satellite imagery
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- - **EuroSAT Dataset**: Sentinel-2 satellite images
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- - **S2-NAIP Dataset**: Paired Sentinel-2 and NAIP images
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-
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- ## Usage
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- 1. Upload an aerial/satellite image
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- 2. Click "Predict Coordinates"
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- 3. View results on interactive map
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- 4. Export results in preferred format
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-
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- ## Technical Details
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- - PyTorch backend with transformer architecture
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- - Multi-head attention for feature fusion
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- - Uncertainty estimation and confidence scoring
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- - GPU-accelerated inference
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- - Production-ready API endpoints
 
 
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+ title: My Geo-Referencing AI
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+ emoji: ๐ŸŒ
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  sdk: gradio
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  sdk_version: 4.0.0
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  app_file: app.py
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  pinned: false
 
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+ # Welcome to My Space
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+ This is a demo for my AI georeferencing project. Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference