Outerview/billboard-advertising-index

---
license: cc-by-4.0

pretty_name: Outerview Global Billboard Advertising Index

task_categories:
- image-classification

task_ids:
- multi-class-image-classification

tags:
- computer-vision
- image-classification
- geospatial
- mapping
- earth-observation
- urban-analytics
- advertising
- billboards
- marketing
- out-of-home
- ooh
- street-view
- open-data

annotations_creators:
- Paul Wynter

source_datasets:
- original

language:
- en

size_categories:
- 10K<n<100K
---

# Outerview Global Billboard Advertising Index

A large-scale geospatial index of billboard advertisements and outdoor advertising placements with latitude and longitude.

This index is part of Outerview’s mission to organize the world’s physical media layer and make it searchable, measurable, and actionable.

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## 🌍 Overview

- **Feature:** Billboard advertisements and outdoor media
- **Scope:** Global
- **Entries:** 15,000
- **Total Index:** Millions of locations (full system)
- **Formats:** Parquet / CSV / GeoJSON

This index represents a **subset of a much larger global system** tracking physical advertising infrastructure and media presence across the world.

Each row corresponds to a real-world billboard or outdoor advertisement placement.

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## 🌎 Why This Index Exists

Billboards and outdoor advertising are a core layer of **global attention and economic signaling**.

This index helps build a **global snapshot of physical advertising presence**, enabling:

- Mapping of advertising density and coverage
- Analysis of brand visibility across regions
- Identification of high-attention and high-traffic zones
- Measurement of real-world media distribution at scale

Our goal is simple:
**make the world’s physical media layer visible, measurable, and indexable to everyone.**

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## 📊 Index Schema

| Column | Description |
|--------------|------------|
| id | Unique identifier |
| latitude | Latitude coordinate |
| longitude | Longitude coordinate |
| region | Administrative region |
| source | Data source |

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## 🧠 Data Sources & Labeling

- **Imagery Source:** Mapillary
- **Index Generation:** Outerview AI models

All detections were generated using Outerview’s computer vision systems trained on large-scale real-world imagery.

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## 🧪 Example Use Cases

- Train models for billboard and advertisement detection
- Analyze out-of-home (OOH) advertising distribution
- Identify high-value advertising corridors and zones
- Support media buying and planning strategies
- Build geospatial search and world modeling systems

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## 🚀 About Outerview

Outerview is a research lab focused on building world models that help understand and index the physical world.

Our system is trained on billions of images, videos, and location data, enabling anyone to search and analyze real-world conditions globally.

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## 🔗 API & Full Index Access

This is a sample index.

The full platform provides:
- Millions of additional locations
- **Temporal data (track changes over time)**
- Access to **billions of real-world images and video streams**
- Real-time querying of physical infrastructure and media

Access the full index and API:
👉 https://outerview.ai

View API documentation:
👉 https://outerview.ai/developers/docs

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## 🔄 Updates

This index is actively maintained and updated **biweekly** with new observations and improvements.

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## 💬 Feedback

We welcome feedback from researchers, developers, and marketers.

If there are additional features you'd like to see (e.g. signage types, storefront ads, digital screens), let us know.

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## 📜 License

This index is released under the **CC-BY-4.0 license**.

Free for research and commercial use with attribution.

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## ⚠️ Notes

- This index is a sampled subset of a larger global system
- The full index includes additional metadata such as timestamps
- Coverage and density may vary by region
- Detection accuracy may vary depending on environment and conditions

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