Landmark Recog­nition

DeepVA’s landmark recog­nition feature allows you to automat­i­cally detect and label well-known buildings, monuments, and geographic landmarks in your visual media.

identify famous buildings

The technology behind landmark recog­nition

Landmark recog­nition is the automated process of identi­fying visual landmarks in images and video using AI. DeepVA’s model performs real-time or batch-based landmark detection, recog­nizing culturally and histor­i­cally signif­icant buildings and struc­tures.

The system compares your content with a growing database of landmarks worldwide, from global icons like the Eiffel Tower to regionally relevant sites. It then assigns names, categories, and confi­dence scores—giving you rich metadata to power editorial workflows, content discovery, or search features.

In addition to detecting well known landmarks, you can train the AI model further. With our Deep Model Customizer, you can easily teach the system to recognize lesser-known regional buildings and hotspots important to you.

The benefits of choosing us

Recognize landmarks at scale

Use AI to automat­i­cally identify famous or local buildings and sites in video and image material—saving time and resources.

Enrich your metadata and archives

Improve tagging, filtering, and discov­er­ability by adding detailed landmark recog­nition data to your assets.

Reduce manual workload

Skip the tedious task of manual location tagging. Let AI handle it in seconds.

Landmark Recog­nition module is part of our Deep Media Analyzer appli­cation. Check it out now: 

Deep Media Analyzer

Gain insights from your visual data

What you’ll get

DeepVA Landmark Recog­nition delivers fast, accurate landmark detection and tagging for your entire media archive.

Identify famous buildings in your content

Detect landmarks such as historical monuments, iconic buildings, or natural wonders in stills and video.

Confi­dence scoring

Get trans­parency on how certain each match is, so you can filter or verify results as needed.

Scalable metadata gener­ation

Tag large amounts of footage or images efficiently with consistent results.

frequently asked questions

Have a question? We’ve got answers

What types of landmarks are detected?
The system recog­nizes a wide range of famous and regional buildings, monuments, and landmarks visible in the footage.
Can it work without metadata?
Yes. Landmark detection is based on visual cues, not on GPS or text data.
What is the output format?
Detected landmarks are exported as struc­tured metadata with names, confi­dence scores, and timestamps.
Is the system customizable?
Custom landmark databases and regional tuning are possible on request.
Is your service GDPR compliant?

Yes, DeepVA is fully GDPR compliant. We take data protection and privacy seriously and ensure that all personal data is processed in accor­dance with GDPR regula­tions.

How is my data handled? Does the AI learn from my data?

You have full control over your data on our AI platform, ensuring it remains secure and compliant. By default, we do not use your data to train our models, keeping it propri­etary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organi­zation.

What type of data do you store?

By default, we do not process your data beyond what is required to provide our services. If additional processing is necessary, it will only occur as outlined in your instruc­tions or where legally required. For example, data may be trans­ferred or processed as needed to fulfill service require­ments, always in alignment with our agree­ments.

To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.

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