Outerview/global-trash-and-debris-index

Outerview Global Trash & Debris Dataset

A large-scale geospatial dataset of trash, litter, and environmental debris with latitude and longitude.

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

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🌍 Overview

• Feature: Trash, litter, and debris
• Scope: Global
• Entries: 30,000
• Total Dataset: Millions of locations (full dataset)
• Formats: Parquet / CSV / GeoJSON

This dataset represents a subset of a much larger global system tracking visible environmental conditions across the planet.

Each row corresponds to a real-world observation of waste or debris at a specific location.

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🌎 Why This Dataset Exists

Understanding where trash is accumulating — and where it is improving — is critical for cities, researchers, and communities.

This dataset is designed to help build a global snapshot of environmental cleanliness over time, enabling:

• Detection of waste accumulation hotspots
• Measurement of cleanup progress
• Monitoring of environmental change at street level
• Better decision-making for urban and environmental planning

Our goal is simple:
make the state of the physical world visible and trackable to everyone.

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📊 Dataset 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
• Label 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 trash and debris detection
• Build environmental monitoring systems
• Identify illegal dumping or waste accumulation zones
• Support sustainability and cleanup initiatives
• Enhance 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 Dataset Access

This is a sample dataset.

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 environmental conditions

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

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

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🔄 Updates

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

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💬 Feedback

We welcome feedback from researchers, developers, and communities.

If there are additional environmental features you'd like to see (e.g. recycling, illegal dumping, pollution indicators), let us know.

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📜 License

This dataset is released under the CC-BY-4.0 license.

Free for research and commercial use with attribution.

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⚠️ Notes

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

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