Understanding Your Results
After analysis completes (~850ms), OceanIR displays comprehensive location intelligence through an interactive interface with multiple data layers.
Interactive Map Display
The main view shows a MapBox GL map centered on the identified location. A red marker indicates the precise coordinates. You can pan, zoom, and switch between street view and satellite imagery.
GPS Coordinates
Precise latitude and longitude values appear in decimal format (e.g., 25.7617, -80.1918). Click to copy coordinates for use in other mapping applications. Coordinates are accurate to approximately 10-50 meters depending on image quality.
Confidence Score
OceanIR provides a confidence rating indicating how certain the AI is about the identified location. Scores range from 0-100%:
Street View Integration
A Google Street View panel appears alongside the map, showing the actual street-level imagery at the identified coordinates. This allows you to visually verify the AI's accuracy by comparing your uploaded image with real street view photos.
Geocoded Address
When available, OceanIR displays the full street address, neighborhood, and district information via MapBox geocoding. This translates GPS coordinates into human-readable location data.
Interactive Map Features
Zoom & Pan: Use mouse wheel or pinch gestures to zoom. Click and drag to pan around the map and explore surrounding areas.
Layer Toggle: Switch between street map, satellite imagery, and hybrid views to see different perspectives of the location.
Copy Coordinates: Click on the coordinates display to copy GPS values to your clipboard for use in other applications.
Street View Navigation: Rotate 360° within street view to compare angles and validate the location match.
Interpreting Accuracy
High confidence results (85%+): The identified location is very likely correct. Visual features strongly match the AI's training data for that specific area.
Moderate confidence (50-84%): The location is probable but may benefit from manual verification using the street view panel.
Low confidence (below 50%): The image may lack distinctive features or be from outside the trained coverage area. Consider trying a different city or uploading additional images from different angles.
What to Do With Your Results
Verify visually: Compare your uploaded image with the street view panel to confirm architectural features, signage, and environmental context match.
Export coordinates: Copy GPS coordinates for use in Google Maps, mapping software, or field navigation tools.
Analyze multiple images: Upload additional photos from different angles of the same location to cross-validate results and improve confidence.
Document findings: Use the map's screenshot feature or copy the full address for reporting, documentation, or further research.