Update README.md

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+
+pretty_name: Outerview Global Road Signs Index
+
+task_categories:
+  - image-classification
+
+task_ids:
+  - multi-class-image-classification
+
+tags:
+  - computer-vision
+  - image-classification
+  - geospatial
+  - mapping
+  - earth-observation
+  - transportation
+  - navigation
+  - infrastructure
+  - road-signs
+  - traffic-signs
+  - autonomous-driving
+  - street-view
+  - open-data
+
+annotations_creators:
+  - Paul Wynter
+
+source_datasets:
+  - original
+
+language:
+  - en
+
+size_categories:
+  - 10K<n<100K
+---
+
+# Outerview Global Road Signs Index
+
+A large-scale geospatial index of road signs and traffic signage with latitude and longitude.
+
+This dataset is part of Outerview’s mission to organize the world’s physical infrastructure and make it searchable, measurable, and continuously updated.
+
+---
+
+## 🌍 Overview
+
+- **Feature:** Road signs and traffic signage  
+- **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 road infrastructure and signage across the world.
+
+Each row corresponds to a real-world road sign observed at a specific location.
+
+---
+
+## 🌎 Why This Index Exists
+
+Road signs are a critical layer of **navigation, safety, and infrastructure intelligence**.
+
+This index is designed to support a **continuous stream of real-world data**, enabling:
+
+- Tracking changes to road signage over time  
+- Detecting newly added, removed, or damaged signs  
+- Improving navigation systems and map accuracy  
+- Supporting autonomous driving and routing systems  
+- Monitoring infrastructure consistency across regions  
+
+Our goal is simple:  
+**maintain a living, global index of road signals that reflects how roads evolve in real time.**
+
+---
+
+## 📊 Index Schema
+
+| Column        | Description |
+|--------------|------------|
+| id           | Unique identifier |
+| latitude     | Latitude coordinate |
+| longitude    | Longitude coordinate |
+| region       | Administrative region |
+| source       | Data source |
+
+---
+
+## 🧠 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.
+
+---
+
+## 🧪 Example Use Cases
+
+- Train models for traffic sign recognition  
+- Improve navigation and routing systems  
+- Support autonomous vehicle perception systems  
+- Monitor road infrastructure changes over time  
+- Build geospatial search and world modeling systems  
+
+---
+
+## 🚀 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.
+
+---
+
+## 🔗 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 navigation signals  
+
+Access the full index and API:  
+👉 https://outerview.ai  
+
+View API documentation:  
+👉 https://outerview.ai/developers/docs  
+
+---
+
+## 🔄 Updates
+
+This index is actively maintained and updated **biweekly** with new observations and improvements.
+
+---
+
+## 💬 Feedback
+
+We welcome feedback from researchers, developers, and transportation experts.
+
+If there are additional features you'd like to see (e.g. lane markings, signals, road conditions), let us know.
+
+---
+
+## 📜 License
+
+This index is released under the **CC-BY-4.0 license**.
+
+Free for research and commercial use with attribution.
+
+---
+
+## ⚠️ 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  
+
+---