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# README.md iรงin
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---
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title:
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emoji:
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colorFrom: blue
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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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license: mit
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#
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## Features
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- ๐ Single image coordinate prediction
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- ๐ Batch processing with statistical analysis
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- ๐บ๏ธ Interactive maps with uncertainty visualization
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- ๐ Regional classification and confidence scoring
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- ๐ค Multiple export formats (GeoJSON, CSV, Excel)
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- ๐ค Multi-model ensemble (DINOv2, EuroSAT, EarthView, S2-NAIP)
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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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## 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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## 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: ๐
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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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---
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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
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