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Identify Landmarks in Photos with a Landmark Detection API

#ai #tutorial #api #python

A landmark detection API analyzes a photo and identifies famous structures, monuments, and natural wonders — along with GPS coordinates. Build travel apps, geo-tagging tools, or geographic analysis platforms with a single API call.

Why Landmark Detection?

  • Auto geo-tagging — Infer location from visual content when GPS metadata is missing
  • Travel apps — Point-and-identify features, auto-populated travel journals
  • Cultural heritage — Catalog historical photo collections by location
  • Content verification — Verify claimed photo locations against detected landmarks

Python Example 

import requests

api_url = "https://landmarks-detection.p.rapidapi.com/detect-landmarks"
headers = {
    "x-rapidapi-host": "landmarks-detection.p.rapidapi.com",
    "x-rapidapi-key": "YOUR_API_KEY",
}

response = requests.post(
    api_url,
    headers={**headers, "Content-Type": "application/x-www-form-urlencoded"},
    data={"url": "https://example.com/photo.jpg"},
)

data = response.json()

for lm in data["body"]["landmarks"]:
    name = lm["description"]
    score = lm["score"]
    for loc in lm["locations"]:
        lat, lng = loc["latitude"], loc["longitude"]
        print(f"{name} (confidence: {score:.0%}) at {lat:.4f}, {lng:.4f}")
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Response Format 

{
  "statusCode": 200,
  "body": {
    "landmarks": [
      {
        "description": "Statue Of Liberty",
        "score": 0.82,
        "locations": [
          { "latitude": 40.6892, "longitude": -74.0445 }
        ]
      }
    ]
  }
}
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Each detection includes the landmark name, confidence score, and GPS coordinates (latitude/longitude) that you can use directly with Google Maps, Mapbox, or Leaflet.

Use Cases

  • Travel photo organizer — Auto-sort vacation photos by landmark (Colosseum, Trevi Fountain, etc.)
  • Real estate — Enhance listings by identifying nearby landmarks
  • AR navigation — Trigger contextual overlays when users point their camera at landmarks
  • Education — Interactive geography quizzes from student-uploaded photos

Tips

  • Use clear, well-framed photos where the landmark is prominently visible
  • Leverage GPS coordinates for reverse geocoding, weather data, or nearby POIs
  • Combine with image labeling for both specific landmarks and general scene context

👉 Read the full tutorial with cURL, JavaScript examples and more use cases

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