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What is the Landmark Recognition?

Identify regional landmarks, architectural structures, and label them using the power of AI.

Module Description

The Landmark Recognition identifies major landmarks, architectural structures, and natural monuments around the world. Easily archive and retrieve landmark imagery for content creation using pre-trained dictionaries or train your own models.

Customized Landmark Recognition
To use a custom landmark recognition model, you need to access the training function within the Deep Model Customizer.

How does it work?

  1. Select the Media File: Choose the media file you want to analyze.
  2. Activate the Landmark Recognition Module: In the left column, select the "Landmark Recognition" module.
  3. Define the Model & Parameters: Choose the model for analysis from the available options, set the parameters, and click the yellow "Add Module" button.
  4. Start the Analysis: You can either add more modules or begin the analysis immediately by clicking "Start Analysis"

What Parameters are available?

  • Model (Dropdown): Select from our pretrained landmark model or your custom-trained models for landmark recognition. The capabilities are limited to the chosen model

What models are available:

  • Europe: 
    Important sights, architectural structures and natural monuments across Europe
  • General B:
    Important sights, architectural structures and natural monuments across the world

Custom Landmark Models:
To use custom models, they must be created and trained in the Deep Model Customizer, after which they will appear in the dropdown.

  • Minimum Similarity (0-1):
    This setting controls the similarity threshold for detecting landmarks. A lower value (closer to 0) will return more results, but with less precision. A higher value (closer to 1) will provide fewer results, but with greater accuracy in identifying the correct landmarks. Adjust this based on whether you prefer more comprehensive or more accurate results.

Displaying the Results:

Timeline:

The timeline, located below the player, displays the entire video runtime and the results from each module as gray bars.
  • By clicking on any of the grey result bars, you will see details such as:
    • Name of the Landmark
    • Timecode (TC)
    • Exact frame numbers
    • Runtime/Duration
  • Clicking on a result moves the playhead to the beginning of that result.
  • These results are identical to those provided by the API, but in a more user-friendly, graphical format. If there are multiple results, use your mouse wheel to scroll through the timeline.

Search Field:

Located in the top bar, the search field includes filter settings for refining your results.
  • Name field: Enter a name to view results that match the entered name.
  • Sorting: Results can be sorted alphabetically or chronological. You can toggle between ascending and descending order.

After adjusting filters, click "Apply" to apply them. Active filters appear in a black box beneath the search field and can be cleared by clicking the X symbol.

Module Section

On the right side of the player, you’ll see a section with detailed results for each module used in the analysis. Clicking on the module name opens a dropdown with specific parameters, useful for troubleshooting or viewing metadata.

Result Cards

Results are displayed as cards in chronological order. Each card provides key information, such as:

    • Name of the result
      Its label in the dataset.

    • Location:
      Exact location of the landmark including region and country.

    • Latitude and Longiture:
      The geographical position of the landmark. 

Latitude and longitude:
Together, latitude and longitude coordinates give a specific global address for any location:

  • Latitude measures how far north or south a point is from the Equator. It ranges from 0° at the Equator to 90° at the poles.
  • Longitude measures how far east or west a point is from the Prime Meridian, which runs through Greenwich, England. It ranges from 0° to 180° east or west.
    • Tags
      Associated Tags provided by the dataset.
      Example: tourist attraction, castle, capitol building, square,...
    • Show on Map
      Opens the geographical position in Open Street Map (Opens a new tab)

OpenStreetMap (OSM) is a collaborative mapping project that creates a free, editable map of the world. It is often referred to as the "Wikipedia of maps" because it allows users to contribute and update geographic data from any location globally. The project is open-source, meaning anyone can use the data for various applications, such as navigation, urban planning, and geographic analysis, without licensing fees.

  • Free to use: Accessible to anyone, whether for personal or commercial use.
  • Highly customizable: Used for custom maps and integrating into apps or websites.