Best Practices

Best Practices

Get the most accurate results from OceanIR's AI geolocation platform

Updated December 2025

01
Introduction

Optimize Your Analysis

While OceanIR's AI is highly capable, following these best practices will help you get the most accurate and reliable geolocation results. The quality and content of your input images significantly impact analysis accuracy.
02
Do This

Use Clear, High-Quality Images

Higher resolution images with clear details provide more visual information for the AI to analyze.

Include Landmarks or Distinctive Features

Buildings, signs, bridges, and other identifiable features help pinpoint exact locations.

Capture Wide-Angle Views

Broader perspectives give the AI more context about the surrounding area.

Choose Daylight Photos When Possible

While OceanIR handles night images well, daylight photos generally provide the most detail.

Select the Correct City

Using the right city-specific page (Miami, LA, or NYC) ensures the best analysis results.

Verify Results on the Map

Always use the interactive map to confirm the identified location makes sense.
03
Avoid This

Don't Use Heavily Cropped Photos

Cropping removes contextual information that helps with accurate location identification.

Avoid Extreme Close-Ups

Photos focused on small details lack the broader geographic context needed for analysis.

Don't Rely on Indoor-Only Images

Interior shots without windows or distinctive features are difficult to geolocate.

Avoid Heavily Filtered Images

Filters and heavy editing can distort visual features that the AI uses for analysis.
04
Pro Tips

Image Quality

  • -Use images with at least 1920x1080 resolution
  • -Ensure good lighting and minimal blur
  • -Include the horizon or skyline when possible
  • -Capture multiple angles if available

    • Location Identification

  • -Look for street signs or building numbers
  • -Architectural styles narrow down neighborhoods
  • -Natural features provide valuable context
  • -Consider sunlight angle for direction

    • Understanding Results

  • -95%+ confidence indicates high certainty
  • -Review the analysis explanation
  • -Use street view to verify location
  • -Consider multiple factors below 90%
    • 05
    Scenarios

    Ideal Scenario

    A high-resolution daylight photo of a Miami street corner showing building facades, street signs, and distinctive architectural features. The image includes the skyline in the background and clear visibility of nearby landmarks. This type of image provides optimal conditions for accurate analysis.

    Challenging Scenario

    A heavily cropped, low-resolution interior photo with only a small window showing a distant building. Limited context and visual information make precise geolocation difficult, potentially resulting in lower confidence scores or requiring multiple analysis attempts.

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